# Indrajeet Patil — Personal Website > Indrajeet Patil is a Senior Software Engineer at Carl Zeiss AG (Germany), author of widely-used open-source packages, and researcher in moral cognition and social neuroscience. *Complete documentation content below* # Indrajeet Patil > Indrajeet Patil – Senior Software Engineer at Carl Zeiss, open-source developer (ggstatsplot, easystats), cognitive neuroscientist, and fiction writer. Software Engineer I build software for work, and read, write, and watch fiction to keep the rest of my attention honest. 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. I also drive the organisation's adoption of _agentic engineering_ best practices, helping teams work productively with AI coding agents while staying within compliance and cost constraints. 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_ for data analysis and code quality, published _peer-reviewed research_ in neuroscience and psychology, written a screenplay adapted from Marathi literature, and am finishing a collection of _speculative fiction_ about technology's quiet costs. 63.2M+ Open-Source Downloads 23 Peer-Reviewed Publications 18K+ Citations ## Path Physics Neuroscience Engineering 🇮🇳 🇮🇹 🇺🇸 🇩🇪 Industry Research Education 2025 – Present ### Senior Software Engineer Carl Zeiss AG Munich, Germany Owns the GenAI-based application layer of the company's AI platform and leads enterprise-wide agentic engineering adoption 2023 – 2024 ### Senior Software Engineer Preisenergie GmbH Munich, Germany Full-stack applications for the German energy market 2021 – 2022 ### Senior Research Software Engineer esqLABS GmbH Berlin, Germany Pharmacokinetic modelling and simulation systems in pharma 2019 – 2021 ### Postdoctoral Researcher Max Planck Institute for Human Development Berlin, Germany Computational modelling of moral behaviour 2017 – 2019 ### Postdoctoral Researcher Harvard University Cambridge, Massachusetts, USA Social psychology research on moral cognition 2011 – 2016 ### Ph.D. in Neuroscience Scuola Internazionale Superiore di Studi Avanzati (SISSA) Trieste, Italy Social neuroscience of moral decision-making 2008 – 2010 ### M.Sc. in Physics University of Pune Pune, India 2005 – 2008 ### B.Sc. in Physics Fergusson College Pune, India --- # Education > Formal training in physics and cognitive neuroscience. Formal training in physics and cognitive neuroscience, from atomic-scale friction to moral decision-making in harmful contexts. 2011 – 2015 ## Doctor of Philosophy (Neuroscience) Scuola Internazionale Superiore di Studi Avanzati (SISSA) Trieste, Italy Summa cum laude Advisor: Giorgia Silani Thesis: A multimodal investigation of moral decision making in harmful contexts 2008 – 2010 ## Master of Science (Physics) University of Pune Pune, India Thesis: Effect of hypergravity on amylase and total protein content in germinating rice seeds 2005 – 2008 ## Bachelor of Science (Physics) Fergusson College Pune, India 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, analytics, and pharma. 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 ## Senior Software Engineer Carl Zeiss AG Munich, Germany - Owned the GenAI platform application stack at ZEISS – the default architecture, standards, and guardrails for every onboarded application across business units. Led cross-unit enablement for LLM development (Python/TypeScript/Terraform), delivering an estimated €1.1M in productivity gains. - Designed and led 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. - Authored an internal book on agentic engineering – covering tooling, compliance, security, and custom agent design – enabling safe AI coding agent adoption across the organisation. Oct 2023 – Dec 2024 ## Senior Software Engineer Preisenergie GmbH Munich, Germany - 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 ## Senior Research Software Engineer esqLABS GmbH Berlin, Germany - 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. 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 of ggstatsplot and statsExpressions, contributor to easystats — open-source R and Python packages for statistical visualisation, data analysis, and developer tooling. R and Python packages for data analysis, visualisation, statistical reporting, and developer tooling, with 63.2M+ 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-lines), while peer-reviewed software papers are listed under [Publications](/publications/). Sort by: Default Downloads Stars Name ## ggstatsplot Creator Enhancing {ggplot2} plots with statistical analysis R Data Visualisation 758K 2,176 [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 R Statistical Reporting 639K 315 [CRAN ](https://cran.r-project.org/package=statsExpressions)[GitHub ](https://github.com/IndrajeetPatil/statsExpressions)[Docs](https://www.indrapatil.com/statsExpressions/) ## crosszip Creator Apply functions to all combinations of elements from multiple iterables Python Utilities 9K 5 [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 Python Developer Tools 2K 5 [PyPI ](https://pypi.org/project/md2linkedin/)[GitHub ](https://github.com/IndrajeetPatil/md2linkedin)[Docs](https://www.indrapatil.com/md2linkedin/) ## ggsignif Significance brackets for ggplot2 R Data Visualisation 14.0M 613 [CRAN ](https://cran.r-project.org/package=ggsignif)[GitHub ](https://github.com/const-ae/ggsignif)[Docs](https://const-ae.github.io/ggsignif/) ## insight Easy access to model information for various model objects R Data Analysis 10.3M 434 [CRAN ](https://cran.r-project.org/package=insight)[GitHub ](https://github.com/easystats/insight)[Docs](https://easystats.github.io/insight/) ## datawizard Easy data preparation and statistical transformations R Data Analysis 6.8M 236 [CRAN ](https://cran.r-project.org/package=datawizard)[GitHub ](https://github.com/easystats/datawizard)[Docs](https://easystats.github.io/datawizard/) ## lintr Static code analysis for R R Developer Tools 5.4M 1,272 [CRAN ](https://cran.r-project.org/package=lintr)[GitHub ](https://github.com/r-lib/lintr)[Docs](https://lintr.r-lib.org/) ## performance Assessment, comparison and testing of statistical models R Data Analysis 4.7M 1,141 [CRAN ](https://cran.r-project.org/package=performance)[GitHub ](https://github.com/easystats/performance)[Docs](https://easystats.github.io/performance/) ## styler Non-invasive pretty printing of R code R Developer Tools 4.6M 773 [CRAN ](https://cran.r-project.org/package=styler)[GitHub ](https://github.com/r-lib/styler)[Docs](https://styler.r-lib.org/) ## parameters Extracting, computing and exploring model parameters R Data Analysis 4.5M 490 [CRAN ](https://cran.r-project.org/package=parameters)[GitHub ](https://github.com/easystats/parameters)[Docs](https://easystats.github.io/parameters/) ## bayestestR Understanding and describing Bayesian models and posterior distributions R Statistical Reporting 4.5M 590 [CRAN ](https://cran.r-project.org/package=bayestestR)[GitHub ](https://github.com/easystats/bayestestR)[Docs](https://easystats.github.io/bayestestR/) ## effectsize Indices of effect size and standardised parameters R Statistical Reporting 3.4M 347 [CRAN ](https://cran.r-project.org/package=effectsize)[GitHub ](https://github.com/easystats/effectsize)[Docs](https://easystats.github.io/effectsize/) ## correlation Methods for correlation analysis R Statistical Reporting 1.3M 450 [CRAN ](https://cran.r-project.org/package=correlation)[GitHub ](https://github.com/easystats/correlation)[Docs](https://easystats.github.io/correlation/) ## see Visualisation toolbox for beautiful and publication-ready figures R Data Visualisation 1.0M 944 [CRAN ](https://cran.r-project.org/package=see)[GitHub ](https://github.com/easystats/see)[Docs](https://easystats.github.io/see/) ## modelbased Estimation of model-based predictions, contrasts and means R Statistical Reporting 745K 260 [CRAN ](https://cran.r-project.org/package=modelbased)[GitHub ](https://github.com/easystats/modelbased)[Docs](https://easystats.github.io/modelbased/) ## report Automated reporting of results and statistical models R Statistical Reporting 378K 714 [CRAN ](https://cran.r-project.org/package=report)[GitHub ](https://github.com/easystats/report)[Docs](https://easystats.github.io/report/) ## easystats A unified framework for easy statistical modelling, visualisation, and reporting R Data Analysis 168K 1,153 [CRAN ](https://cran.r-project.org/package=easystats)[GitHub ](https://github.com/easystats/easystats)[Docs](https://easystats.github.io/easystats/) Download counts from CRAN and PyPI, last updated April 27, 2026. --- # Research > Research on moral psychology, cognitive neuroscience, and statistical computing. 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. 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. ## Research Lines ### Moral Judgment About Harm: Emotion, Reasoning, and Their Interplay When facing dilemmas that pit preventing harm against maximising welfare, two competing systems vie for control: emotion-driven harm aversion, and reasoning-based cost-benefit analysis. A decade of research mapped how each operates, when they conflict, and what makes one prevail. - Reasoning ability predicts utilitarian choices across eight independent studies – independently of how intensely someone dislikes causing harm - Psychopathy's link to utilitarian judgement traces to reduced aversion to performing harmful acts specifically, not reduced concern for victims - Emotional immersion in virtual reality closes the gap between what people say they would do and what they actually do, showing that behaviour and stated principles can dissociate - Better reasoners more readily forgive accidental harms, redirecting attention from emotional reactions toward the perpetrator's innocent intent Dual-process theory Moral dilemmas fMRI Virtual reality Behavioural experiments Relevant Publications (4) - **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. - **Patil, I.**, & Tremolière, B.. (2021). [Reasoning supports forgiving accidental harms ](https://doi.org/10.1038/s41598-021-93908-z). Scientific Reports, 11:14418. - **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. - **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. ### 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. - 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 - Grey matter volume in the theory-of-mind network predicts willingness to forgive accidents, by supporting representation of innocent intent - Individuals who incur costly personal sacrifices to rescue others in a virtual emergency have larger right anterior insula – a region central to empathic motivation - Across 24 studies and 21,000+ participants, compensating victims generated stronger reputational gains than punishing perpetrators, because compensation reliably signals genuine prosocial character fMRI Neuroimaging Prosociality Altruism Third-party punishment Empathy Relevant Publications (4) - 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. - **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. - **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. - **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. ### 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. - Alexithymia (difficulty identifying one's own emotions) reduces empathic concern and increases moral acceptance of harmful acts, particularly unintentional ones - 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 - Multiple sclerosis patients condemn third-party violations more harshly than controls, explained by elevated cognitive alexithymia rather than disease-specific neurological changes - Anxiety disorder patients maintain intact moral cognition despite pathologically heightened arousal, showing that emotional intensity alone does not distort moral judgement Alexithymia Psychopathy Autism Multiple sclerosis Anxiety Individual differences Relevant Publications (6) - **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. - **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. - **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. - **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. - **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. - **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. ### Open-Source Statistical Software Throughout my academic career I built tools to address methodological gaps in my own research – and those tools grew into widely adopted infrastructure across the sciences. - ggstatsplot combines inferential statistics with publication-ready visualisations, reducing the steps between analysis and reporting - The easystats ecosystem provides a unified R workflow for model fitting, diagnostics, parameter extraction, comparison, and reporting - Contributions to lintr and styler help enforce code quality and style standards across the R community - These packages are collectively downloaded tens of millions of times and used across disciplines from ecology to clinical trials R programming Data visualisation Software engineering easystats ggstatsplot Relevant Publications (10) - Makowski, D., Ben-Shachar, M.S., Wiernik, B.M., Thériault, R., **Patil, I.**, & Lüdecke, D.. (2025). [modelbased: An R package to make the most out of your statistical models ](https://doi.org/10.21105/joss.07969). Journal of Open Source Software, 10(109), 7969. - Hester, J., Angly, F., Chirico, M., Hyde, R., Kun, R., **Patil, I.**, & Rosenstock, A.. (2025). [Static Code Analysis for R ](https://doi.org/10.21105/joss.07240). Journal of Open Source Software, 10(108), 7240. - Thériault, R., Ben-Shachar, M.S., **Patil, I.**, Lüdecke, D., Wiernik, B.M., & Makowski, D.. (2024). [Check your outliers! An introduction to identifying statistical outliers in R with easystats ](https://doi.org/10.3758/s13428-024-02356-w). Behavior Research Methods, 56, 4162–4172. - **Patil, I.**, Makowski, D., Ben-Shachar, M.S., Wiernik, B.M., Bacher, E., & Lüdecke, D.. (2022). [datawizard: An R Package for Easy Data Preparation and Statistical Transformations ](https://doi.org/10.21105/joss.04684). Journal of Open Source Software, 7(78), 4684. - **Patil, I.**. (2021). [Visualizations with statistical details: The 'ggstatsplot' approach ](https://doi.org/10.21105/joss.03167). Journal of Open Source Software, 6(61), 3167. - **Patil, I.**. (2021). [statsExpressions: R Package for Tidy Dataframes and Expressions with Statistical Details ](https://doi.org/10.21105/joss.03236). Journal of Open Source Software, 6(61), 3236. - Lüdecke, D., **Patil, I.**, Ben-Shachar, M.S., Wiernik, B.M., Waggoner, P., & Makowski, D.. (2021). [see: An R Package for Visualizing Statistical Models ](https://doi.org/10.21105/joss.03393). Journal of Open Source Software, 6(64), 3393. - Lüdecke, D., Ben-Shachar, M.S., **Patil, I.**, Waggoner, P., & Makowski, D.. (2021). [performance: An R Package for Assessment, Comparison and Testing of Statistical Models ](https://doi.org/10.21105/joss.03139). Journal of Open Source Software, 6(60), 3139. - Lüdecke, D., Ben-Shachar, M.S., **Patil, I.**, & Makowski, D.. (2020). [Extracting, Computing and Exploring the Parameters of Statistical Models using R ](https://doi.org/10.21105/joss.02445). Journal of Open Source Software, 5(51), 2445. - Makowski, D., Ben-Shachar, M.S., **Patil, I.**, & Lüdecke, D.. (2020). [Methods and Algorithms for Correlation Analysis in R ](https://doi.org/10.21105/joss.02306). Journal of Open Source Software, 5(53), 2306. Visit the [Publications](/publications/) page for PDFs, supplementary materials, and data. ## Research Positions 2019 – 2021 ### Postdoctoral Fellow Max Planck Institute for Human Development Berlin, Germany Advisor: Iyad Rahwan 2017 – 2019 ### Postdoctoral Fellow Harvard University Department of Psychology Cambridge, MA, USA Advisor: Mina Cikara and Fiery Cushman 2016 ### Visiting Researcher Scuola Internazionale Superiore di Studi Avanzati (SISSA) Trieste, Italy Advisor: Giorgia Silani --- # Presentations > Talks and workshops on software engineering, open-source maintenance, R packages, and career advice. 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: All Software Craft Open Source R Package Development Career ## 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 [CC0 CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/) ## 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 [CC0 CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/) ## To Comment or Not To Comment When code comments help, when they hurt, and how to write documentation that ages well. Software Craft [CC0 CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/) ## 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 [CC0 CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/) ## FOSS for Enterprise Managing open-source software in enterprise environments – licensing models, compliance requirements, security risks, and mitigation tools. Open Source [CC0 CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/) ## DRY R Package Development Techniques for reducing redundancy and keeping R packages maintainable at scale. R Package Development [CC0 CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/) ## Introduction to {ggstatsplot}: Informative Statistical Visualisations How to create publication-ready plots with embedded statistical details using ggstatsplot. R Package Development [CC0 CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/) ## Introduction to Snapshot Testing in R A practical guide to using snapshot tests for robust R package quality assurance. R Package Development [CC0 CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/) ## Preventive R Package Care Automating preventive checks – documentation, exception handling, portability, code quality, and dependency management – via CI workflows. R Package Development [CC0 CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/) ## From Academia to Industry A practical roadmap for researchers transitioning to industry – self-assessment, skill translation, networking, and application strategy. Career [CC0 CC0 1.0 Universal](https://creativecommons.org/publicdomain/zero/1.0/) --- # Publications > Peer-reviewed work on moral cognition, neuroscience, statistics, and research software. 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. 18,250 Citations 28 h-index 31 i10-index [Google Scholar](https://scholar.google.com/citations?user=kSYuYTUAAAAJ\&hl=en "Google Scholar profile") All Moral Psychology 12 Neuroscience 12 Software 11 Statistics 7 Data Visualisation 3 ## 2025 ### 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 28 citations Software [PDF ](/pdfs/publications/hester_et_al_joss_2025.pdf)[DOI](https://doi.org/10.21105/joss.07240) ### 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 171 citations Software Statistics [PDF ](/pdfs/publications/Makowski_JOSS_2025.pdf)[DOI](https://doi.org/10.21105/joss.07969) ## 2024 ### 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 61 citations Software Statistics [PDF ](/pdfs/publications/Thériault_BRM_2024.pdf)[DOI](https://doi.org/10.3758/s13428-024-02356-w) ## 2022 ### 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 131 citations Software Statistics [PDF ](/pdfs/publications/Patil_JOSS_2022_datawizard.pdf)[DOI](https://doi.org/10.21105/joss.04684) ## 2021 ### ggsignif: R Package for Displaying Significance Brackets for 'ggplot2' Ahlmann-Eltze, C., & **Patil, I.** PsyArxiv Preprint 671 citations Software Data Visualisation [DOI](https://doi.org/10.31234/osf.io/7awm6) ### 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 86 citations 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/) ### 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 6,525 citations Software Statistics [PDF ](/pdfs/publications/Lüdecke_JOSS_2021_performance.pdf)[DOI](https://doi.org/10.21105/joss.03139) ### 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 191 citations Software Data Visualisation [PDF ](/pdfs/publications/Lüdecke_JOSS_2021_see.pdf)[DOI](https://doi.org/10.21105/joss.03393) ### Reasoning supports forgiving accidental harms **Patil, I.**, & Tremolière, B. Scientific Reports, 11:14418 14 citations Neuroscience Moral 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/) ### Visualizations with statistical details: The 'ggstatsplot' approach **Patil, I.** Journal of Open Source Software, 6(61), 3167 2,002 citations Software Data Visualisation [PDF ](/pdfs/publications/Patil_JOSS_2021_ggstatsplot.pdf)[DOI](https://doi.org/10.21105/joss.03167) ### 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), 443–460 180 citations Neuroscience Moral 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/) ### statsExpressions: R Package for Tidy Dataframes and Expressions with Statistical Details **Patil, I.** Journal of Open Source Software, 6(61), 3236 102 citations Software Statistics [PDF ](/pdfs/publications/Patil_JOSS_2021_statsExpressions.pdf)[DOI](https://doi.org/10.21105/joss.03236) ## 2020 ### 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 670 citations Software Statistics [PDF ](/pdfs/publications/Lüdecke_JOSS_2020.pdf)[DOI](https://doi.org/10.21105/joss.02445) ### 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 664 citations Software Statistics [PDF ](/pdfs/publications/Makowski_JOSS_2020.pdf)[DOI](https://doi.org/10.21105/joss.02306) ### 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 15 citations Neuroscience Moral 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/) ## 2018 ### 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 70 citations 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/) ## 2017 ### The behavioral and neural basis of empathic blame **Patil, I.**, Calò, M., Fornasier, F., Cushman, F.\*, & Silani, G.\* Scientific Reports, 7:5200 52 citations Neuroscience Moral 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/) ### 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 30 citations Neuroscience Moral 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) ### Neuroanatomical correlates of forgiving unintentional harms **Patil, I.**, Calò, M.\*, Fornasier, F.\*, Young, L., & Silani, G. Scientific Reports, 7:45967 33 citations Neuroscience Moral 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/) ## 2016 ### 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 107 citations Neuroscience Moral 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) ## 2015 ### Trait psychopathy and utilitarian moral judgment: The mediating role of action aversion **Patil, I.** Journal of Cognitive Psychology, 27(3), 349–366 160 citations Neuroscience Moral 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/) ## 2014 ### Alexithymia increases moral acceptability of accidental harms **Patil, I.**, & Silani, G. Journal of Cognitive Psychology, 26(5), 597–614 89 citations Neuroscience Moral 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/) ### Reduced empathic concern leads to utilitarian moral judgments in trait alexithymia **Patil, I.**, & Silani, G. Frontiers in Psychology, 5:501 243 citations Neuroscience Moral 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/) ### 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), 94–107 263 citations Neuroscience Moral 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) ## Theses 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 ## Reports ### 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: screenplays, speculative fiction, Marathi science articles, and physics research news. Fiction, screenplays, and popular science, mostly about technology, scientific ideas, and the human mess around both. ## Creative Writing ### Distorted Mirrors Draft Book A speculative-fiction collection about ordinary people 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. Currently looking for a literary agent. [Get in touch](mailto:patilindrajeet.science@gmail.com) if you have any leads. ### Freezer Draft Screenplay 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. Interested in adaptation? [Get in touch](mailto:patilindrajeet.science@gmail.com). ## Popular Science ### विज्ञान कुतूहल – Science Curiosity Book A compilation of ten popular science articles originally published in [Loksatta](https://www.loksatta.com/), one of India's leading Marathi-language daily newspapers published by the Indian Express Group. With a circulation of approximately 400,000 copies across Maharashtra, Loksatta is widely read by an educated, urban audience. These articles were written in 2011 and aimed to make contemporary scientific ideas accessible to a broader Marathi-speaking readership. [PDF](/pdfs/writing/marathi_popsci_collected.pdf)