Stanford
University

Stanford Home
Maps & Directions
Search Stanford
Emergency Info

Terms of Use
Privacy
Copyright
Trademarks
Non-Discrimination
Accessibility

© Stanford University. Stanford, California 94305.

AI+Science: Accelerating Discovery | Stanford HAI

Skip to content

About
Research
Education
Policy
AI Index

News
Events
Industry
Centers & Labs

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

Navigate

About
Events
AI Glossary
Careers
Search

Participate

Get Involved
Support HAI
Contact Us

eventConference

AI+Science: Accelerating Discovery

Status

Past

Date

Tuesday, May 05, 2026 8:30 AM - 6:45 PM PST/PDT

Location

Stanford University; Location disclosed to registered guests in email communications

Topics

Sciences (Social, Health, Biological, Physical)

Government, Public Administration

Share

Link copied to clipboard!

Event Contact

Stanford HAI

stanford-hai@stanford.edu

Related Events

NVIDIA & Marlowe: Scaling Data Science Workloads with RAPIDS

WorkshopJul 15, 20262:00 PM - 3:30 PM

July

15

2026

This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!

Event

NVIDIA & Marlowe: Scaling Data Science Workloads with RAPIDS

Jul 15, 20262:00 PM - 3:30 PM

This workshop will cover how NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. You will learn how to use GPU-accelerated tools to conduct data science faster, leading to more scalable, reliable, and cost-effective results!

Empirical Methods in the Age of AI Conference

ConferenceOct 02, 2026

October

02

2026

Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.

Event

Empirical Methods in the Age of AI Conference

Oct 02, 2026

Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.

Agenda

8:30 AM

Breakfast

9:00 AM

Welcome from the Institute Director and Faculty Organizers

9:30 AM

AI for Life

10:30 AM

Break

11:00 AM

Lightning Talks

Aishwarya Mandyam: Toward Safe and Uncertainty-Aware Clinical Decision-Making
Amar Venugopal: Causal Effect Estimation with Latent Textual Treatments
Steven Dillmann: Terminal-Bench-Science: Evaluating AI Agents on Computational Workflows in the Natural Sciences
Aldis Elfarsdottir: Corporate Carbon Credibility: Signs of Credible Intent in Public and Private Climate Reports

11:15 AM

AI for Earth

12:15 PM

Lunch and Poster Session

1:30 PM

Keynote

2:00 PM

AI for the Universe

3:00 PM

Break

3:30 PM

Lightning Talks Session 2

Matt DeButts: Media Patronage: Selection and Survival to Shape Foreign Media
Sam Young: Learning the Structure of Particle Interactions from Raw Detector Data Without Labels
Benjamin Dodge: GraphGP: Scalable Gaussian Processes with Vecchia's Approximation

3:45 PM

Role of Human Understanding in the Future of Scientific Discovery

4:45 PM

Closing Remarks

5:00 PM

Reception and Poster Session

5:45 - 6:15 PM

Conversation between Institute Leaders

Fireside Chat

James F. and Mary Lynn Gibbons Professor of Computer Science and Electrical Engineering, Stanford School of Engineering, and the Shriram Family Director of Stanford’s Knight-Hennessy Scholars, Stanford University

Denning Director, Stanford HAI | Anand Rajaraman and Venky Harinarayan Professor of Computer Science, Stanford University

Founding Director, Stanford HAI | Sequoia Professor of Computer Science, Stanford University

Speakers

Associate Professor of Applied Physics, and by courtesy, of Neurobiology, of Electrical Engineering, and of Computer Science, Stanford University | Associate Director and Senior Fellow, Stanford HAI

Denning Director, Stanford HAI | Anand Rajaraman and Venky Harinarayan Professor of Computer Science, Stanford University

Jonathan Levin

President and Bing Presidential Professor, Professor of Economics at the Graduate School of Business, of Economics and Senior Fellow at the Stanford Institute for Economic Policy Research

Humanities and Sciences Professor, Professor of Physics and of Particle Physics and Astrophysics, Stanford University | Director, Kavli Institute for Particle Astrophysics & Cosmology | Associate Director, Stanford HAI

Speakers

Assistant Professor of Chemical Engineering at Stanford University | HAI Faculty Affiliate, Stanford HAI

Assistant Professor of Genetics and Computer Science

Professor of Ophthalmology, Stanford University

Moderator

Russ Altman

Kenneth Fong Professor and Professor of Bioengineering, of Genetics, of Medicine, of Biomedical Data Science | Associate Director and Senior Fellow, Stanford HAI | Professor, by courtesy, of Computer Science

Elizabeth Barnes

Dalton Family Chair in Environmental Data Science & Sustainability and Professor of Computing & Data Sciences and of Earth & Environment, Boston University

Senior Research Scientist, NVIDIA; PhD, Imperial College London

Joseph B. Keller and Herbert B. Keller Professor of Applied Mathematics, New York University

Moderator

Benjamin M. Page Professor, Earth System Science, Stanford University

Speaker

Under Secretary for Science, U.S. Department of Energy

Speakers

David R. Anderson Director of the UW–Madison Data Science Institute (DSI), powered by American Family Insurance

Founder & CEO, Axiom

Doug Finkbeiner

Professor of Astronomy and of Physics, Harvard University

Moderator

Benjamin Nachman

Associate Professor of Particle Physics and Astrophysics and, by courtesy, of Physics and of Statistics

Speakers

Angèle Christin

Associate Professor of Communication, and, by courtesy, of Sociology, Stanford University | Senior Fellow, Stanford HAI

Max Palevsky Professor, University of Chicago

Hans Bethe Professor of Physics, Cornell University

Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering

Moderators

Associate Professor of Applied Physics, and by courtesy, of Neurobiology, of Electrical Engineering, and of Computer Science, Stanford University | Associate Director and Senior Fellow, Stanford HAI

Humanities and Sciences Professor, Professor of Physics and of Particle Physics and Astrophysics, Stanford University | Director, Kavli Institute for Particle Astrophysics & Cosmology | Associate Director, Stanford HAI

Associate Professor of Applied Physics, and by courtesy, of Neurobiology, of Electrical Engineering, and of Computer Science, Stanford University | Associate Director and Senior Fellow, Stanford HAI

Humanities and Sciences Professor, Professor of Physics and of Particle Physics and Astrophysics, Stanford University | Director, Kavli Institute for Particle Astrophysics & Cosmology | Associate Director, Stanford HAI