Stanford Causal Science Center Conference on Experimentation

Event Details:

Friday, May 23, 2025
9:30am - 6:00pm PDT

Location

Paul Brest Hall, 555 Salvatierra Walk, Stanford, CA 94305
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This event is open to:

Alumni
Faculty/Staff
General Public
SDS Industry Affiliate Members
Postdocs
Students
Register Here

Join us for a premier one-day event that brings together leading experts in experimentation and causal inference, spanning researchers and industry professionals. This is your chance to explore the latest trends, breakthrough methodologies, and real-world applications shaping the field. Engage in thought-provoking discussions, gain fresh insights, and connect with a dynamic community driving data science and decision-making innovation! 

This event is in-person only.

Note: If your ticket type is sold out, please click here to sign up for the waitlist. If tickets become available, an email will be sent to those on the waitlist. They will be available on a first-come, first-served basis. 

Ticket Prices 

  • General Admission: $200
  • Non-Stanford Faculty/Staff: $75
  • Non-Stanford Student/Postdoc: $35
  • Stanford Faculty/Staff/Student/Postdoc: free

Agenda

TimeSession TitleSpeaker(s)
9:30 - 10:00amRegistration & Coffee 
10:00 - 10:15amOpening RemarksGuido Imbens, Stanford Data Science Faculty Director, and Applied Econometrics Professor
10:15 - 11:45amSession 1:Session Chair: Stefan Wager
10:15 - 10:45amReevaluating Causal Estimation Methods with Data from a Product ReleaseEleanor Dillon, Principal Researcher, Microsoft
10:45 - 11:15amUnraveling Disease: How Do We Learn Causality in Drug Discovery?Emily Fox, SVP of AI and Machine Learning, insitro, Professor, Stanford University
11:15 - 11:45amDoing the Right Thing Faster: Causal Measurement at AirbnbNavin Sivanandam, Head of Core Data Science, Airbnb
11:45am - 12:45pmLunch 
12:45 - 1:30pmPoster Session & Networking Coffee  Downloadable Poster Map 
1:30 - 3:00pmSession 2:Session Chair: Emma Brunskill
1:30 - 2:00pmChatbot Arena: An Open Platform for Evaluating LLMs by Human PreferenceAnastasios Angelopoulos, Postdoctoral Scholar, UC Berkeley
2:00 - 2:30pmDisentangling Goals from BeliefsBenjamin Van Roy, Professor, EE and MS&E, Stanford University
2:30 - 3:00pmEvaluating AI: From Overfitting to Agents Ludwig Schmidt, Assistant Professor, Computer Science and Data Science, Stanford University, and Technical Staff Member, Anthropic
3:00 - 3:15pmBreak 
3:15 - 4:45pmSession 3:Session Chair: Yiqing Xu
3:15 - 3:45pmA Causal Perspective on Evaluating LLMsSean Taylor, Data Scientist, OpenAI
3:45 - 4:15pmEvaluating Interventions in Panel Data SettingsSusan Athey, Economics of Technology Professor, Stanford University
4:15 - 4:45pmFive Lessons Learned from A/B Testing at ScaleJames McQueen, Principal Applied Scientist, Amazon
4:45 - 6:00pmReception 

 

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