Rishi Bommasani - Senior Research Scholar at Stanford Institute for Human-Centered Artificial Intelligence (HAI)

Rishi Bommasani

Senior Research Scholar at Stanford Institute for Human-Centered Artificial Intelligence (HAI)

Palo Alto, California, United States

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Summary

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Rockstar

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Top School

Rishi Bommasani is a PhD candidate at Stanford CS researching the societal impacts of AI with a focus on foundation models, where he helped build and now leads research activities at the Stanford Center for Research on Foundation Models (CRFM). Backed by an NSF Graduate Research Fellowship and advised by Percy Liang and Dan Jurafsky, he blends rigorous NLP research with system-level evaluation work. He contributes to open frameworks like HELM, helping improve transparency and benchmarking for language, vision-language, and text-to-image models. With prior internships on Mozilla’s DeepSpeech team and dual undergraduate training in computer science and mathematics from Cornell, he brings both applied engineering experience and strong theoretical grounding. Based in Palo Alto, he has seven years of experience shaping how large models are measured and governed, often focusing on evaluation scenarios and metric design that surface real-world harms and limitations.

7 years of coding experience

Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Cornell University

Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University

English, Telugu, Spanish

Github Skills (4)

python10

algorithm4

algorithms4

cicd3

Programming languages (4)

CSSJavaScriptHTMLPython

Github contributions (5)

stanford-crfm/helm

Mar 2022 - Jan 2023

Holistic Evaluation of Language Models (HELM) is an open source Python framework created by the Center for Research on Foundation Models (CRFM) at Stanford for holistic, reproducible and transparent evaluation of foundation models, including large language models (LLMs) and multimodal models.

Role in this project:

Back-end Developer

Contributions:16 reviews, 254 commits, 11 PRs in 10 months

Contributions summary:Rishi primarily worked on the `helm` repository, contributing to the scenario configurations and metrics. Their commits focused on fixing scenario names and finalizing scenarios. They also made changes to benchmarking files, including alterations to run specifications and basic metrics, which suggests involvement in the core evaluation framework logic.

foundation-modelshelmlanguage-modellarge-language-modelsmultimodal

rishibommasani/rishibommasani.github.io

Sep 2019 - Dec 2022

Contributions:212 commits, 1 PR, 281 pushes in 3 years 4 months

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