# Indrajeet Patil — Personal Website
> Indrajeet Patil is a Senior Software Engineer at Carl Zeiss AG (Germany), an author of widely-used open-source packages, a fiction writer, and a former researcher in moral cognition and social neuroscience.

*Complete documentation content below*

# Indrajeet Patil
> Indrajeet Patil – Senior Software Engineer at Carl Zeiss AG, open-source developer (ggstatsplot, easystats), cognitive neuroscientist, and fiction writer.

At Carl Zeiss AG, I own the GenAI-based application layer of the company's AI platform — the architecture, security model, and guardrails that every business unit builds on when shipping LLM applications — and drive the organisation's adoption of agentic engineering. Building systems that people trust with hard decisions is, in a way, where I started: earlier, I studied moral decision-making at Harvard University and the Max Planck Institute, after a PhD in cognitive neuroscience at SISSA, Trieste.

That path has left me with two recurring interests: how people decide what matters, and how to build tools that survive contact with real work. I have authored [open-source libraries](/experience/open-source/) for data analysis and code quality, and published [peer-reviewed research](/publications/) in neuroscience and psychology.

Career atlas · 2005—present

## Path

1. Matter · 01

   ### Physics

   2005 – 2010 · Pune, India

   Two physics degrees in Pune: an award-winning undergraduate thesis on static friction at the atomic scale, and a master's project on how hypergravity affects germinating seeds.

   [Education →](/experience/education/)

1. Mind · 02

   ### Neuroscience/Psychology

   2011 – 2021 · Italy · USA · Germany

   A PhD in cognitive neuroscience at SISSA in Trieste, then postdoctoral research at Harvard and the Max Planck Institute, understanding the psychological and neural bases of different aspects of moral cognition. My publications, spanning research and statistical software, have been [cited 20,000+ times](/publications/).

   [Research →](/experience/research/)

1. Systems · 03

   ### Engineering

   2021 – Present · Germany

   Left academia to build production systems across pharma, energy, and enterprise AI. Now at Carl Zeiss AG, owning LLM application architecture and agentic engineering standards, alongside [open-source packages](/experience/open-source/) downloaded more than 66 million times.

   [Industry →](/experience/industry/)[Presentations →](/presentations/)

Parallel enquiry · Fiction

### Writing

I am writing [_Distorted Mirrors_](/writing/), a collection of literary fiction about technology's quiet costs.

[Writing →](/writing/)

---

# Education
> Formal training in physics and cognitive neuroscience.

Training route · 2005–2016

Formal training in physics and cognitive neuroscience, from atomic-scale friction to moral decision-making in harmful contexts.

1. 2011 – 2016

   Trieste, Italy

   ## Doctor of Philosophy (Neuroscience)

   [Scuola Internazionale Superiore di Studi Avanzati (SISSA)](https://www.sissa.it/)

   Summa cum laude

   Advisor: Giorgia Silani

   Thesis

   A multimodal investigation of moral decision-making in harmful contexts

1. 2008 – 2010

   Pune, India

   ## Master of Science (Physics)

   [University of Pune](https://www.unipune.ac.in/)

   Thesis

   Effect of hypergravity on amylase and total protein content in germinating rice seeds

1. 2005 – 2008

   Pune, India

   ## Bachelor of Science (Physics)

   [Fergusson College](https://fergusson.edu/)

   Satish Bhide Prize for the Best Undergraduate Thesis

   Thesis

   Theoretical studies of static friction at atomic scale for unlubricated BCC solids

Thesis PDFs and supplementary materials are available on the [Publications](/publications/#theses) page.

---

# Industry
> Software engineering roles across enterprise AI, energy, and pharma.

Career atlas · industry

I moved from academic research into software engineering to work closer to production systems: architectures, developer workflows, and domain applications that have to hold up under real constraints.

For the academic path that preceded this transition, see my [Research](/experience/research/) and [Education](/experience/education/) pages; related career and software-engineering talks are collected under [Presentations](/presentations/).

Jan 2025 – Present

Munich, Germany

Systems role · 01

## Senior Software Engineer

[Carl Zeiss AG](https://www.zeiss.com/)

- Own the GenAI platform application stack at ZEISS – the default architecture, standards, and guardrails for every onboarded application across business units, delivering an estimated €1.1M in productivity gains. Codified these standards in an internal Software Development Handbook read across the organisation.
- Technical owner of AI Launchpad, ZEISS' company-wide system of record for AI initiatives, actively used by the CFO and CEO to track AI maturity and strategic progress.
- Technical owner for Debrief Expert Copilot, an LLM-based system preserving institutional knowledge at risk from expert attrition.
- Drive enterprise-wide adoption of AI coding agents – establishing tooling standards, compliance guardrails, and cost governance so teams can integrate agentic workflows safely. Published an internal Agentic Engineering book to accelerate enablement.

Oct 2023 – Dec 2024

Munich, Germany

Systems role · 02

## Senior Software Engineer

[Preisenergie GmbH](https://www.preisenergie.de/)

- Architected full-stack applications (FastAPI/Next.js/React) serving the German energy market.
- Led infrastructure modernisation: microservices on Kubernetes with CI/CD via CircleCI and ArgoCD.
- Principal architect for a Shiny application ecosystem, R packages, and ETL pipelines – modernising legacy systems into maintainable codebases.
- Migrated all company applications from AWS to GCP with zero downtime.

Sep 2021 – Aug 2022

Berlin, Germany

Systems role · 03

## Senior Research Software Engineer

[esqLABS GmbH](https://esqlabs.com/)

- Built PBPK modelling, simulation, and visualisation systems using object-oriented design in R.
- Developed and tested production Shiny web applications in the pharmacometrics domain.
- Designed a modular R package ecosystem to improve maintainability and extensibility.

Continuity

The engineering work shown here is preceded by years of open-source software development — R and Python packages used by hundreds of thousands of researchers worldwide. If you are assessing software engineering depth, the [Open-Source](/experience/open-source/) page is as relevant as this one.

---

# Open-Source Software
> Creator and co-author of open-source R and Python packages for statistical visualisation, data analysis, reporting, and developer tooling.

Software ecosystem

R and Python packages for data analysis, visualisation, statistical reporting, and developer tooling, with 67M+ total downloads. The goal is practical software: clearer results, reproducible workflows, and code that is easier to maintain.

Many of these packages grew out of methodological needs in my own research. The broader context is summarised in [Research](/experience/research/#research-software), while peer-reviewed software papers are listed under [Publications](/publications/).



Sort by:

DownloadsStarsName

### ggsignif

Co-author

Significance brackets for ggplot2

RData Visualisation

14.5M614

[CRAN](https://cran.r-project.org/package=ggsignif)[GitHub](https://github.com/const-ae/ggsignif)[Docs](https://const-ae.github.io/ggsignif/)

### insight

Co-author

Easy access to model information for various model objects

RData Analysis

11.0M439

[CRAN](https://cran.r-project.org/package=insight)[GitHub](https://github.com/easystats/insight)[Docs](https://easystats.github.io/insight/)

### datawizard

Co-author

Easy data preparation and statistical transformations

RData Analysis

7.4M236

[CRAN](https://cran.r-project.org/package=datawizard)[GitHub](https://github.com/easystats/datawizard)[Docs](https://easystats.github.io/datawizard/)

### lintr

Co-author

Static code analysis for R

RDeveloper Tools

5.6M1,291

[CRAN](https://cran.r-project.org/package=lintr)[GitHub](https://github.com/r-lib/lintr)[Docs](https://lintr.r-lib.org/)

### performance

Co-author

Assessment, comparison and testing of statistical models

RData Analysis

5.0M1,150

[CRAN](https://cran.r-project.org/package=performance)[GitHub](https://github.com/easystats/performance)[Docs](https://easystats.github.io/performance/)

### parameters

Co-author

Extracting, computing and exploring model parameters

RData Analysis

4.8M496

[CRAN](https://cran.r-project.org/package=parameters)[GitHub](https://github.com/easystats/parameters)[Docs](https://easystats.github.io/parameters/)

### styler

Co-author

Non-invasive pretty printing of R code

RDeveloper Tools

4.8M770

[CRAN](https://cran.r-project.org/package=styler)[GitHub](https://github.com/r-lib/styler)[Docs](https://styler.r-lib.org/)

### bayestestR

Co-author

Understanding and describing Bayesian models and posterior distributions

RStatistical Reporting

4.8M593

[CRAN](https://cran.r-project.org/package=bayestestR)[GitHub](https://github.com/easystats/bayestestR)[Docs](https://easystats.github.io/bayestestR/)

### effectsize

Co-author

Indices of effect size and standardised parameters

RStatistical Reporting

3.6M352

[CRAN](https://cran.r-project.org/package=effectsize)[GitHub](https://github.com/easystats/effectsize)[Docs](https://easystats.github.io/effectsize/)

### correlation

Co-author

Methods for correlation analysis

RStatistical Reporting

1.4M455

[CRAN](https://cran.r-project.org/package=correlation)[GitHub](https://github.com/easystats/correlation)[Docs](https://easystats.github.io/correlation/)

### see

Co-author

Visualisation toolbox for beautiful and publication-ready figures

RData Visualisation

1.1M949

[CRAN](https://cran.r-project.org/package=see)[GitHub](https://github.com/easystats/see)[Docs](https://easystats.github.io/see/)

### modelbased

Co-author

Estimation of model-based predictions, contrasts and means

RStatistical Reporting

821K261

[CRAN](https://cran.r-project.org/package=modelbased)[GitHub](https://github.com/easystats/modelbased)[Docs](https://easystats.github.io/modelbased/)

### ggstatsplot

Creator

Enhancing {ggplot2} plots with statistical analysis

RData Visualisation

792K2,191

[CRAN](https://cran.r-project.org/package=ggstatsplot)[GitHub](https://github.com/IndrajeetPatil/ggstatsplot)[Docs](https://www.indrapatil.com/ggstatsplot/)

### statsExpressions

Creator

Tidy dataframes and expressions with statistical details

RStatistical Reporting

670K313

[CRAN](https://cran.r-project.org/package=statsExpressions)[GitHub](https://github.com/IndrajeetPatil/statsExpressions)[Docs](https://www.indrapatil.com/statsExpressions/)

### report

Co-author

Automated reporting of results and statistical models

RStatistical Reporting

410K717

[CRAN](https://cran.r-project.org/package=report)[GitHub](https://github.com/easystats/report)[Docs](https://easystats.github.io/report/)

### easystats

Co-author

A unified framework for easy statistical modelling, visualisation, and reporting

RData Analysis

190K1,157

[CRAN](https://cran.r-project.org/package=easystats)[GitHub](https://github.com/easystats/easystats)[Docs](https://easystats.github.io/easystats/)

### crosszip

Creator

Apply functions to all combinations of elements from multiple iterables

PythonUtilities

11K4

[PyPI](https://pypi.org/project/crosszip/)[GitHub](https://github.com/IndrajeetPatil/crosszip)[Docs](https://www.indrapatil.com/crosszip/)

### md2linkedin

Creator

Convert Markdown to LinkedIn-compatible post format

PythonDeveloper Tools

3K4

[PyPI](https://pypi.org/project/md2linkedin/)[GitHub](https://github.com/IndrajeetPatil/md2linkedin)[Docs](https://www.indrapatil.com/md2linkedin/)

Download counts from CRAN and PyPI, last updated 7 August 2026.

---

# Research
> Research on moral psychology, cognitive neuroscience, and statistical computing.

Moral cognition · Neuroscience

Research from a decade in moral psychology and cognitive neuroscience: how people judge harm, forgive accidents, help strangers, and how statistical tooling can make that work more reproducible.









Dispatch · 01



Some of this work reached readers beyond academic journals, with coverage in outlets such as [Time](https://time.com/3242/driving-over-your-best-friend-its-the-right-thing-to-do/), [HuffPost](https://www.huffpost.com/entry/autism-empathy-brain-research_n_56f92575e4b014d3fe237413), and [Vice](https://www.vice.com/en/article/would-you-kill-someone-to-save-five-others-virtual-reality-tells-the-truth/), among others. The complete bibliographic record is on the [Publications](/publications/) page.



Field note 01

### Moral Judgment About Harm: Emotion, Reasoning, and Their Interplay

When facing dilemmas that pit not causing harm against maximising welfare, two systems pull in different directions: emotion-driven harm aversion, and reasoning-based cost-benefit analysis. A decade of research mapped how each operates, when they conflict, and what tips the balance.

Key findings

- Reasoning ability predicts utilitarian choices across eight independent studies – independently of how intensely someone dislikes causing harm[\[1\]](#pub-0-1)
- Psychopathy's link to utilitarian judgement is driven specifically by reduced aversion to performing harmful acts – not by its reduced concern for victims, which is also present but does not account for the effect[\[3\]](#pub-0-3)
- People who judge sacrificing one to save many as wrong in text nonetheless carry it out in emotionally arousing virtual reality – behaviour and stated principles can dissociate[\[4\]](#pub-0-4)
- Better reasoners judge accidental harms more leniently – an effect specific to accidents, absent for intentional or attempted harm[\[2\]](#pub-0-2)

Dual-process theoryMoral dilemmasfMRIVirtual realityBehavioural experiments

Relevant Publications (4)

- \[1] **Patil, I.**\* , Zucchelli, M.M.\*, Kool, W., Campbell, S., Fornasier, F., Calò, M., Silani, G., Cikara, M., & Cushman, F.A.. (2021). [Reasoning supports utilitarian resolutions to moral dilemmas across diverse measures](https://doi.org/10.1037/pspp0000281). Journal of Personality and Social Psychology, 120(2), 443–460.
- \[2] **Patil, I.**, & Tremolière, B.. (2021). [Reasoning supports forgiving accidental harms](https://doi.org/10.1038/s41598-021-93908-z). Scientific Reports, 11:14418.
- \[3] **Patil, I.**. (2015). [Trait psychopathy and utilitarian moral judgment: The mediating role of action aversion](https://doi.org/10.1080/20445911.2015.1004334). Journal of Cognitive Psychology, 27(3), 349–366.
- \[4] **Patil, I.**, Cogoni, C., Zangrando, N., Chittaro, L., & Silani, G.. (2014). [Affective basis of judgment-behavior discrepancy in virtual experiences of moral dilemmas](https://doi.org/10.1080/17470919.2013.870091). Social Neuroscience, 9(1), 94–107.

Visit the [Publications](/publications/) page for PDFs, supplementary materials, and data.

Field note 02

### Empathy, Prosociality, and the Neural Basis of Moral Emotion

Empathic concern for victims shapes not only how harshly we condemn wrongdoers but also whether we step up to help – and both effects have distinct neural signatures.

Key findings

- The brain's pain-empathy network encodes outcome severity and drives blame, but is recruited differently for acceptability judgments – a neural dissociation between two outwardly similar moral responses[\[3\]](#pub-1-3)
- Grey matter volume in a theory-of-mind region (the left anterior STS) – not the temporo-parietal junction prior work emphasised – predicts willingness to forgive accidents[\[4\]](#pub-1-4)
- Individuals who incur costly personal sacrifices to rescue others in a virtual emergency have larger right anterior insula – a region central to empathic motivation[\[2\]](#pub-1-2)
- Across 24 studies and 21,000+ participants, compensating victims generated stronger reputational gains than punishing perpetrators, because compensation reliably signals genuine prosocial character[\[1\]](#pub-1-1)

fMRINeuroimagingProsocialityAltruismThird-party punishmentEmpathy

Relevant Publications (4)

- \[1] Dhaliwal, N.A.\*, **Patil, I.**\* , & Cushman, F.A.. (2021). [Reputational and cooperative benefits of third-party compensation](https://doi.org/10.1016/j.obhdp.2021.01.003). Organizational Behavior and Human Decision Processes, 164, 27–51.
- \[2] **Patil, I.**, Zanon, M.\*, Novembre, G.\*, Zangrando, N., Chittaro, L., & Silani, G.. (2018). [Neuroanatomical basis of concern-based altruism in virtual environment](https://doi.org/10.1016/j.neuropsychologia.2017.02.015). Neuropsychologia, 116, 34–43.
- \[3] **Patil, I.**, Calò, M., Fornasier, F., Cushman, F.\*, & Silani, G.\*. (2017). [The behavioral and neural basis of empathic blame](https://doi.org/10.1038/s41598-017-05299-9). Scientific Reports, 7:5200.
- \[4] **Patil, I.**, Calò, M.\*, Fornasier, F.\*, Young, L., & Silani, G.. (2017). [Neuroanatomical correlates of forgiving unintentional harms](https://doi.org/10.1038/srep45967). Scientific Reports, 7:45967.

Visit the [Publications](/publications/) page for PDFs, supplementary materials, and data.

Field note 03

### Individual Differences: Personality, Psychopathology, and Moral Judgment

People differ markedly in their moral judgments, and this variability reflects stable differences in how they process emotional and cognitive information – not inconsistency or ignorance.

Key findings

- Alexithymia (difficulty identifying one's own emotions) reduces empathic concern and increases moral acceptance of harmful acts, particularly unintentional ones[\[5\]](#pub-2-5)[\[6\]](#pub-2-6)
- In adults with autism, autistic and alexithymic traits exert opposing effects – autistic features increase harm aversion while co-occurring alexithymia reduces empathic concern, creating deceptively normal group averages[\[3\]](#pub-2-3)
- Multiple sclerosis patients condemn third-party violations more harshly than controls, explained by elevated cognitive alexithymia rather than disease-specific neurological changes[\[2\]](#pub-2-2)
- Anxiety-disorder patients show intact moral judgement and – despite the clinical arousal typical of anxiety – report no heightened emotion during the dilemmas themselves, suggesting pathological arousal is distinct from the moral-relevant emotion that shapes judgement[\[1\]](#pub-2-1)

AlexithymiaPsychopathyAutismMultiple sclerosisAnxietyIndividual differences

Relevant Publications (6)

- \[1] **Patil, I.**\* , Larsen, E.\*, Kichic, R., & Gleichgerrcht, E.. (2020). [Moral cognition about harm in anxiety disorders: The Importance of Experienced Emotion](https://doi.org/10.1177/0033294120964134). Psychological Reports, 124(6), 2501–2523.
- \[2] **Patil, I.**, Young, L., Sinay, V., & Gleichgerrcht, E.. (2017). [Elevated moral condemnation of third-party violations in multiple sclerosis patients](https://doi.org/10.1080/17470919.2016.1175380). Social Neuroscience, 12(3), 308–329.
- \[3] **Patil, I.**\* , Melsbach, J.\*, Hennig-Fast, K., & Silani, G.. (2016). [Divergent roles of autistic and alexithymic traits in utilitarian moral judgments in adults with autism](https://doi.org/10.1038/srep23637). Scientific Reports, 6:23637.
- \[4] **Patil, I.**. (2015). [Trait psychopathy and utilitarian moral judgment: The mediating role of action aversion](https://doi.org/10.1080/20445911.2015.1004334). Journal of Cognitive Psychology, 27(3), 349–366.
- \[5] **Patil, I.**, & Silani, G.. (2014). [Alexithymia increases moral acceptability of accidental harms](https://doi.org/10.1080/20445911.2014.929137). Journal of Cognitive Psychology, 26(5), 597–614.
- \[6] **Patil, I.**, & Silani, G.. (2014). [Reduced empathic concern leads to utilitarian moral judgments in trait alexithymia](https://doi.org/10.3389/fpsyg.2014.00501). Frontiers in Psychology, 5:501.

Visit the [Publications](/publications/) page for PDFs, supplementary materials, and data.



The tools I built to answer my own research questions soon outgrew them.

A decade of empirical work kept running into the same methodological gaps, so I built open-source packages — in R and Python — for statistical visualisation, analysis, and reporting, plus the developer tooling that keeps research code reliable. Because good tools are not bound to any one field, they are now used right across the sciences, from ecology to clinical trials, and have been downloaded tens of millions of times.

[Explore the open-source work](/experience/open-source/)



2019 – 2021

### Postdoctoral Researcher

[Max Planck Institute for Human Development](https://www.mpib-berlin.mpg.de/en)

Berlin, Germany

Advisor: Iyad Rahwan

2017 – 2019

### Postdoctoral Researcher

[Harvard University](https://www.harvard.edu/)

Department of Psychology

Cambridge, MA, USA

Advisor: Mina Cikara and Fiery Cushman

2016

### Visiting Researcher

[Scuola Internazionale Superiore di Studi Avanzati (SISSA)](https://www.sissa.it/)

Trieste, Italy

Advisor: Giorgia Silani

---

# Presentations
> Talks and workshops on software engineering, open-source maintenance, R packages, and career advice.

11 decks

Presentation archive

Talks and workshops on software engineering, open-source maintenance, R packages, and career advice.

Note: These RevealJS presentations are best viewed on desktop and may not display optimally on mobile devices.

For the projects behind the R package and open-source talks, see [Open-Source Software](/experience/open-source/). For career talks, the relevant background is summarised on the [Industry](/experience/industry/) page.



Filter by:

AllSoftware CraftOpen SourceR Package DevelopmentCareer



Deck 01

## Effective Claude Code Usage

Practical tips on using Claude Code effectively for software development.

Software Craft[CC0CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/)



Deck 02

## Parse, Don't Pray

Why and how to validate data at system boundaries using libraries like Pydantic and Zod for type safety, security, and clearer errors.

Software Craft[CC0CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/)



Deck 03

## Dealing with the Second Hardest Thing in Computer Science

Practical strategies for naming things well in code – common pitfalls to avoid, actionable naming conventions, and tools to enforce them.

Software Craft[CC0CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/)



Deck 04

## To Comment or Not To Comment

When code comments help, when they hurt, and how to write documentation that ages well.

Software Craft[CC0CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/)



Deck 05

## Poisoning the FOSS Well

How AI-generated pull requests, synthetic issue noise, and collapsing trust are reshaping the free and open source software movement.

Open Source[CC0CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/)



Deck 06

## FOSS for Enterprise

Managing open-source software in enterprise environments – licensing models, compliance requirements, security risks, and mitigation tools.

Open Source[CC0CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/)



Deck 07

## DRY R Package Development

Techniques for reducing redundancy and keeping R packages maintainable at scale.

R Package Development[CC0CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/)



Deck 08

## Introduction to {ggstatsplot}: Informative Statistical Visualisations

How to create publication-ready plots with embedded statistical details using ggstatsplot.

R Package Development[CC0CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/)



Deck 09

## Introduction to Snapshot Testing in R

A practical guide to using snapshot tests for robust R package quality assurance.

R Package Development[CC0CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/)



Deck 10

## Preventive R Package Care

Automating preventive checks – documentation, exception handling, portability, code quality, and dependency management – via CI workflows.

R Package Development[CC0CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/)



Deck 11

## From Academia to Industry

A practical roadmap for researchers transitioning to industry – self-assessment, skill translation, networking, and application strategy.

Career[CC0CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/)

---

# Publications
> Peer-reviewed work on moral cognition, neuroscience, statistics, and research software.

Archive · 01

Bibliography

Peer-reviewed work on moral cognition, neuroscience, statistics, and research software.

For a thematic overview of how these papers fit together, start with the [Research](/experience/research/#research-lines) page, which organises this work into succinct research lines.

Scholar index

Updated 7 August 2026

20,477

Citations

29

h-index

32

i10-index

[Google Scholar](https://scholar.google.com/citations?user=kSYuYTUAAAAJ\&hl=en "Google Scholar profile")



Filter by field

AllMoral Psychology12Neuroscience12Software11Statistics7Data Visualisation3









### Static Code Analysis for R

Hester, J., Angly, F., Chirico, M., Hyde, R., Kun, R., **Patil, I.**, & Rosenstock, A.

Journal of Open Source Software, 10(108), 7240

Software



[PDF](/pdfs/publications/hester_et_al_joss_2025.pdf)[DOI](https://doi.org/10.21105/joss.07240)

31 citations

31

Citations

### modelbased: An R package to make the most out of your statistical models

Makowski, D., Ben-Shachar, M.S., Wiernik, B.M., Thériault, R., **Patil, I.**, & Lüdecke, D.

Journal of Open Source Software, 10(109), 7969

SoftwareStatistics



[PDF](/pdfs/publications/Makowski_JOSS_2025.pdf)[DOI](https://doi.org/10.21105/joss.07969)

200 citations

200

Citations

### Check your outliers! An introduction to identifying statistical outliers in R with easystats

Thériault, R., Ben-Shachar, M.S., **Patil, I.**, Lüdecke, D., Wiernik, B.M., & Makowski, D.

Behavior Research Methods, 56, 4162–4172

SoftwareStatistics



[PDF](/pdfs/publications/Thériault_BRM_2024.pdf)[DOI](https://doi.org/10.3758/s13428-024-02356-w)

73 citations

73

Citations

### datawizard: An R Package for Easy Data Preparation and Statistical Transformations

**Patil, I.**, Makowski, D., Ben-Shachar, M.S., Wiernik, B.M., Bacher, E., & Lüdecke, D.

Journal of Open Source Software, 7(78), 4684

SoftwareStatistics



[PDF](/pdfs/publications/Patil_JOSS_2022_datawizard.pdf)[DOI](https://doi.org/10.21105/joss.04684)

154 citations

154

Citations

### ggsignif: R Package for Displaying Significance Brackets for 'ggplot2'

Ahlmann-Eltze, C., & **Patil, I.**

PsyArxivPreprint

SoftwareData Visualisation



[DOI](https://doi.org/10.31234/osf.io/7awm6)

723 citations

723

Citations

### Reputational and cooperative benefits of third-party compensation

Dhaliwal, N.A.\*, **Patil, I.**\* , & Cushman, F.A.

Organizational Behavior and Human Decision Processes, 164, 27–51

Moral Psychology



[PDF](/pdfs/publications/Dhaliwal_2021.pdf)[DOI](https://doi.org/10.1016/j.obhdp.2021.01.003)[Supplementary](https://osf.io/ey5dh/)[Data & Materials](https://osf.io/yhbrc/)

88 citations

88

Citations

### performance: An R Package for Assessment, Comparison and Testing of Statistical Models

Lüdecke, D., Ben-Shachar, M.S., **Patil, I.**, Waggoner, P., & Makowski, D.

Journal of Open Source Software, 6(60), 3139

SoftwareStatistics



[PDF](/pdfs/publications/Lüdecke_JOSS_2021_performance.pdf)[DOI](https://doi.org/10.21105/joss.03139)

7,417 citations

7,417

Citations

### see: An R Package for Visualizing Statistical Models

Lüdecke, D., **Patil, I.**, Ben-Shachar, M.S., Wiernik, B.M., Waggoner, P., & Makowski, D.

Journal of Open Source Software, 6(64), 3393

SoftwareData Visualisation



[PDF](/pdfs/publications/Lüdecke_JOSS_2021_see.pdf)[DOI](https://doi.org/10.21105/joss.03393)

212 citations

212

Citations

### Reasoning supports forgiving accidental harms

**Patil, I.**, & Tremolière, B.

Scientific Reports, 11:14418

NeuroscienceMoral Psychology



[PDF](/pdfs/publications/Patil_Tremoliere_2021.pdf)[DOI](https://doi.org/10.1038/s41598-021-93908-z)[Supplementary](https://osf.io/kbuxw/)[Data & Materials](https://osf.io/ayb7d/)

16 citations

16

Citations

### Visualizations with statistical details: The 'ggstatsplot' approach

**Patil, I.**

Journal of Open Source Software, 6(61), 3167

SoftwareData Visualisation



[PDF](/pdfs/publications/Patil_JOSS_2021_ggstatsplot.pdf)[DOI](https://doi.org/10.21105/joss.03167)

2,127 citations

2,127

Citations

### Reasoning supports utilitarian resolutions to moral dilemmas across diverse measures

**Patil, I.**\* , Zucchelli, M.M.\*, Kool, W., Campbell, S., Fornasier, F., Calò, M., Silani, G., Cikara, M., & Cushman, F.A.

Journal of Personality and Social Psychology, 120(2), 443–460

NeuroscienceMoral Psychology



[PDF](/pdfs/publications/Patil_et_al_2020_JPSP.pdf)[DOI](https://doi.org/10.1037/pspp0000281)[Supplementary](https://osf.io/e7vzb/)[Data & Materials](https://osf.io/jdzfs/)

183 citations

183

Citations

### statsExpressions: R Package for Tidy Dataframes and Expressions with Statistical Details

**Patil, I.**

Journal of Open Source Software, 6(61), 3236

SoftwareStatistics



[PDF](/pdfs/publications/Patil_JOSS_2021_statsExpressions.pdf)[DOI](https://doi.org/10.21105/joss.03236)

101 citations

101

Citations

### Extracting, Computing and Exploring the Parameters of Statistical Models using R

Lüdecke, D., Ben-Shachar, M.S., **Patil, I.**, & Makowski, D.

Journal of Open Source Software, 5(51), 2445

SoftwareStatistics



[PDF](/pdfs/publications/Lüdecke_JOSS_2020.pdf)[DOI](https://doi.org/10.21105/joss.02445)

743 citations

743

Citations

### Methods and Algorithms for Correlation Analysis in R

Makowski, D., Ben-Shachar, M.S., **Patil, I.**, & Lüdecke, D.

Journal of Open Source Software, 5(53), 2306

SoftwareStatistics



[PDF](/pdfs/publications/Makowski_JOSS_2020.pdf)[DOI](https://doi.org/10.21105/joss.02306)

724 citations

724

Citations

### Moral cognition about harm in anxiety disorders: The Importance of Experienced Emotion

**Patil, I.**\* , Larsen, E.\*, Kichic, R., & Gleichgerrcht, E.

Psychological Reports, 124(6), 2501–2523

NeuroscienceMoral Psychology



[PDF](/pdfs/publications/Patil_et_al_2020_Psych_Reports.pdf)[DOI](https://doi.org/10.1177/0033294120964134)[Supplementary](https://osf.io/fnvwg/)[Data & Materials](https://osf.io/pwsq6/)

14 citations

14

Citations

### Neuroanatomical basis of concern-based altruism in virtual environment

**Patil, I.**, Zanon, M.\*, Novembre, G.\*, Zangrando, N., Chittaro, L., & Silani, G.

Neuropsychologia, 116, 34–43

Neuroscience



[PDF](/pdfs/publications/Patil_et_al_2018_Neuropsychologia.pdf)[DOI](https://doi.org/10.1016/j.neuropsychologia.2017.02.015)[Supplementary](https://osf.io/3hr3q/files)[Data & Materials](https://osf.io/3hr3q/)[Neuroimaging](https://neurovault.org/collections/1908/)

69 citations

69

Citations

### The behavioral and neural basis of empathic blame

**Patil, I.**, Calò, M., Fornasier, F., Cushman, F.\*, & Silani, G.\*

Scientific Reports, 7:5200

NeuroscienceMoral Psychology



[PDF](/pdfs/publications/Patil_et_al_2017_Sci_Rep_empathic_blame.pdf)[DOI](https://doi.org/10.1038/s41598-017-05299-9)[Supplementary](/pdfs/publications/Patil_et_al_2017_Sci_Rep_empathic_blame_supp_info.pdf)[Data & Materials](https://osf.io/893eh/)[Neuroimaging](https://neurovault.org/collections/1712/)

55 citations

55

Citations

### Elevated moral condemnation of third-party violations in multiple sclerosis patients

**Patil, I.**, Young, L., Sinay, V., & Gleichgerrcht, E.

Social Neuroscience, 12(3), 308–329

NeuroscienceMoral Psychology



[PDF](/pdfs/publications/Patil_et_al_2017_Social_Neuroscience_MS_morality.pdf)[DOI](https://doi.org/10.1080/17470919.2016.1175380)[Supplementary](/pdfs/publications/Patil_et_al_2017_Social_Neuroscience_MS_morality_supp_info.pdf)[Data & Materials](https://osf.io/kg3zd/)Press (6 outlets)

33 citations

33

Citations

### Neuroanatomical correlates of forgiving unintentional harms

**Patil, I.**, Calò, M.\*, Fornasier, F.\*, Young, L., & Silani, G.

Scientific Reports, 7:45967

NeuroscienceMoral Psychology



[PDF](/pdfs/publications/Patil_et_al_2017_Sci_Rep_VBM_moral.pdf)[DOI](https://doi.org/10.1038/srep45967)[Supplementary](/pdfs/publications/Patil_et_al_2017_Sci_Rep_VBM_moral_supp_info.pdf)[Data & Materials](https://osf.io/akx6a/)[Neuroimaging](https://neurovault.org/collections/1689/)

33 citations

33

Citations

### Divergent roles of autistic and alexithymic traits in utilitarian moral judgments in adults with autism

**Patil, I.**\* , Melsbach, J.\*, Hennig-Fast, K., & Silani, G.

Scientific Reports, 6:23637

NeuroscienceMoral Psychology



[PDF](/pdfs/publications/Patil_et_al_SREP_2016.pdf)[DOI](https://doi.org/10.1038/srep23637)[Supplementary](/pdfs/publications/Patil_et_al_SREP_2016_supplementary.pdf)[Data & Materials](https://osf.io/kmf8h/)Press (99 outlets)

109 citations

109

Citations

### Trait psychopathy and utilitarian moral judgment: The mediating role of action aversion

**Patil, I.**

Journal of Cognitive Psychology, 27(3), 349–366

NeuroscienceMoral Psychology



[PDF](/pdfs/publications/Patil_JoCP_2015.pdf)[DOI](https://doi.org/10.1080/20445911.2015.1004334)[Supplementary](/pdfs/publications/Patil_JoCP_2015_supplementary.pdf)[Data & Materials](https://osf.io/ykvn5/)

160 citations

160

Citations

### Alexithymia increases moral acceptability of accidental harms

**Patil, I.**, & Silani, G.

Journal of Cognitive Psychology, 26(5), 597–614

NeuroscienceMoral Psychology



[PDF](/pdfs/publications/Patil_Silani_JoCP_2014.pdf)[DOI](https://doi.org/10.1080/20445911.2014.929137)[Supplementary](/pdfs/publications/Patil_Silani_JoCP_2014_supplementary.pdf)[Data & Materials](https://osf.io/d3qak/)

90 citations

90

Citations

### Reduced empathic concern leads to utilitarian moral judgments in trait alexithymia

**Patil, I.**, & Silani, G.

Frontiers in Psychology, 5:501

NeuroscienceMoral Psychology



[PDF](/pdfs/publications/Patil_Silani_Frontiers_in_Psychology_2014.pdf)[DOI](https://doi.org/10.3389/fpsyg.2014.00501)[Supplementary](/pdfs/publications/Patil_Silani_Frontiers_in_Psychology_2014_supplementary.pdf)[Data & Materials](https://osf.io/d3qak/)

241 citations

241

Citations

### Affective basis of judgment-behavior discrepancy in virtual experiences of moral dilemmas

**Patil, I.**, Cogoni, C., Zangrando, N., Chittaro, L., & Silani, G.

Social Neuroscience, 9(1), 94–107

NeuroscienceMoral Psychology



[PDF](/pdfs/publications/Patil_et_al_Social_Neuroscience_2014.pdf)[DOI](https://doi.org/10.1080/17470919.2013.870091)[Supplementary](https://osf.io/aejvw/)[Data & Materials](https://osf.io/aejvw/)Press (18 outlets)

267 citations

267

Citations



Ph.D. Dissertation

### A multimodal investigation of moral decision-making in harmful contexts

Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy, 2016

M.Sc. Thesis

### Effect of hypergravity on amylase and total protein content in germinating rice seeds

University of Pune, Pune, India, 2010

B.Sc. Thesis

### Theoretical studies of static friction at atomic scale for unlubricated BCC solids

Fergusson College, Pune, India, 2008



### Mathematical Introduction to Special Theory of Relativity

**Patil, I.** (2008). Indian Academy of Sciences Summer Research Fellowship Programme. Under guidance of Prof. Jnanadeva Maharana, Institute of Physics, Bhubaneswar.

### Research News in Particle Physics

Ananthanarayan, B., Choudhary, K., Mohapatra, L., **Patil, I.**, Rustagi, A., & Shivaraj, K. (2007). Two review articles published in _Current Science_, summarising recent discoveries in exotic heavy baryons and oscillation phenomena in heavy meson systems for a broad scientific audience.

[Baryons](/pdfs/reports/Ananthanarayan_2007_baryons.pdf)[arXiv:0707.4208](https://arxiv.org/abs/0707.4208)

[Mesons](/pdfs/reports/Ananthanarayan_2007_mesons.pdf)[arXiv:0707.4209](https://arxiv.org/abs/0707.4209)

---

# Writing
> Creative writing and popular science: literary fiction, screenplays, and Marathi science articles.

Parallel practice

Fiction · science

Fiction, screenplays, and popular science, mostly about technology, scientific ideas, and the human mess around both.









Manuscript · 01

Draft · Book

Distorted Mirrors · a collection in progress

### Distorted Mirrors

A literary-fiction collection about ordinary people in present-day India and its near-futures, living with technologies that arrive before anyone has agreed what they are for. The stories are less interested in spectacle than in the smaller moral injuries of progress: attention traded for convenience, intimacy mediated by systems, and lives reduced to data that can be optimised away.

+−Table of Contents14 stories

The collection is unpublished; the running order is still being decided.

- Syntheia
- Under the Same Sun
- Foreign Debris
- Citation Needed
- The Tawaif’s Daughter
- 30,000 Years of Forgetting
- Customer Satisfaction
- A Flexible Spine
- Confessions of a Machine
- Through the Smoke and Screens
- Code of Beauty
- Desirable End
- Tower of AI Babel
- LoadSharing

Currently looking for a literary agent. [Get in touch](mailto:patilindrajeet.science@gmail.com) if you have any leads.

Screenplay · 02

Draft

### Freezer

A science fiction screenplay for a short film that interweaves first contact, climate catastrophe, and an intimate love story across three timelines. Adapted from _Sheetkapat_ by Subodh P. Javadekar.

Logline

When the solar system drifts into a molecular cloud and plunges Earth into a thousand-year ice age, two lovers in a freezing near-future Pune gamble on being frozen alive — hoping to wake, centuries later, to a world worth living in.

Interested in adaptation? [Get in touch](mailto:patilindrajeet.science@gmail.com).



Archive · 03

10 articles

### विज्ञान कुतूहल – Science Curiosity

A compilation of ten popular science articles originally published in [Loksatta](https://www.loksatta.com/), a leading Marathi-language daily (circulation \~400,000) published by the Indian Express Group. Written in 2011, the articles aimed to make contemporary scientific ideas accessible to a broad Marathi-speaking readership.

+−Table of Contents10 articles

1. प्राण्यांमधील स्वत्वाची जाणीव – Self-awareness in animals
1. अवकाशातील बकिबॉल्स आणि जीवनसृष्टीचा प्रसार – Buckyballs in space and the spread of life
1. रोगप्रतिकारक शक्ती आणि प्रजननक्षमतेचे व्यस्त प्रमाण! – The trade-off between immunity and fertility
1. मूरचा नियम आणि संगणकाची प्रगती – Moore's Law and the advance of computing
1. संगणक मानवासारखा विचार करू शकेल काय? – Can computers think like humans?
1. असत्यशोधनाचे तंत्रज्ञान – The technology of lie detection
1. चिरंतन कार्यशील यंत्रांचे मायाजाळ – The myth of perpetual-motion machines
1. प्राण्यांमधील तापमान-नियंत्रण व्यवस्था – Temperature regulation in animals
1. अदृश्य होणारे पदार्थ: मेटामटेरिअल्स – Materials that vanish: metamaterials
1. मानवी अवयवांची पुनर्वाढ होऊ शकते का? – Can human organs regenerate?

[Read the collected articles (PDF)](/pdfs/writing/marathi_popsci_collected.pdf)