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Jasjeet Sekhon's Website

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jsekhon.com·jsekhon.com

Sekhon's causal inference methods may be useful for AI safety researchers conducting empirical policy evaluations or studying intervention effects in AI deployment contexts where controlled experiments are not possible.

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Importance: 18/100homepage

Summary

Personal academic website of Jasjeet Sekhon, a professor specializing in causal inference, matching methods, and statistical methodology applied to social sciences and policy. His work on observational study methods and causal identification is relevant to empirical AI safety research and policy evaluation. The site serves as a hub for his research, publications, and software tools.

Key Points

  • Sekhon develops causal inference methods including matching algorithms used to estimate treatment effects in observational data
  • His GenMatch and MatchIt tools are widely used in empirical policy and social science research
  • Research focuses on rigorous statistical methodology for drawing causal conclusions from non-experimental data
  • Work is relevant to AI governance and policy evaluation where randomized experiments are infeasible
  • Bridges statistics and political science with applications to public policy analysis

Cited by 1 page

PageTypeQuality
Bridgewater AIA LabsOrganization66.0

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[![Professor 	Jasjeet S. Sekhon](https://www.jsekhon.com/photos/bw_headshot.png)](https://youtu.be/b8K7royre1U)

# Jasjeet S. Sekhon

Chief Scientist, AIA Labs • Head of AI/ML, Bridgewater Associates

Eugene Meyer Professor, Yale University


[Institute for the Foundations of Data Science](https://statistics.yale.edu/people/jas-sekhon) •
[Statistics & Data Science](https://statistics.yale.edu/) •
[Political Science](https://politicalscience.yale.edu/) •
[Biomedical Informatics & Data Science](https://medicine.yale.edu/biomedical-informatics-data-science/) •
[Yale University](https://www.yale.edu/)

## Software

### [Causal Toolbox](https://github.com/forestry-labs/causalToolbox)

Estimating Heterogeneous Treatment Effects

### [Matching](https://github.com/cran/Matching)

Multivariate and Propensity Score Matching Software for Causal Inference

### [rgenoud](https://github.com/cran/rgenoud/)

GENetic Optimization Using Derivatives for nonlinear optimization problems

## Selected Reprints & Working Papers

- ["AIA Forecaster: Technical Report."](https://arxiv.org/abs/2511.07678) 2025.
- ["Establishing\\
   Best Practices for Building Rigorous Agentic\\
   Benchmarks."](https://uiuc-kang-lab.github.io/agentic-benchmarks/) 2025.
- ["The Silent\\
   Majority: Demystifying Memorization Effect in the\\
   Presence of Spurious Correlations."](https://arxiv.org/abs/2501.00961) 2025.
- ["A Framework to\\
   Assess the Persuasion Risks Large Language Model Chatbots\\
   Pose to Democratic Societies."](https://arxiv.org/abs/2505.00036) 2025.
- ["Expert\\
   of Experts Verification and Alignment (EVAL) Framework for\\
   Large Language Models Safety in Gastroenterology."](https://www.nature.com/articles/s41746-025-01589-z)
   2025.
- ["Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System."](https://dl.acm.org/doi/fullHtml/10.1145/3613904.3642024) CHI 2024.
- ["GutGPT: Novel Large Language Model Pipeline Outperforms Other Large\\
  Language Models in Accuracy and Similarity to International Experts\\
  for Guideline Recommended Management of Patients."](https://www.gastrojournal.org/article/S0016-5085(24)02528-9/fulltext) Gastroenterology 2024.
- ["Calibrating\\
   Multi-modal Representations: A Pursuit of Group Robustness\\
   without Annotations."](https://arxiv.org/abs/2403.07241) CVPR 2024.
- ["Enhancing Collaborative Medical Outcomes through Private Synthetic Hypercube Augmentation: PriSHA."](https://proceedings.mlr.press/v248/nakamura-sakai24a.html) PMLR 248:55-71, 2024.
- ["Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator."](https://arxiv.org/abs/2309.15769) Dennis Shen, Dogyoon Song, Peng Ding, Jasjeet S. Sekhon.
- ["Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk."](https://arxiv.org/abs/2312.10072)
- ["Same Root Different Leaves: Time Series and Cross-Sectional Meth

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