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eventConference

Stanford Causal Science Conference

Status
Past
Date
Friday, April 24, 2026 8:00 AM - 6:00 PM PST/PDT
Location
Li Ka Shing Center for Learning and Knowledge, 291 Campus Drive, Stanford, 94305

Frontiers in AI Evaluation

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Event Contact
datascience@stanford.edu

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The annual Causal Science Conference is a premier one-day, in-person event that brings together leading researchers and industry practitioners working in evaluation, experimentation, and causal inference. The conference showcases cutting-edge methodologies, emerging trends, and real-world applications that shape how data informs decision-making across domains.

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  • General Admission: $375

  • Faculty/Staff: $85

  • Student/Postdoc: $45

  • Stanford Affiliates: Free 

Sponsor

Agenda

Start TimeEnd TimeSessionSpeaker(s)
8:00 AM9:00 AMRegistration & Coffee 
9:00 AM9:15 AMOpening RemarksGuido Imbens, Stanford Data Science Faculty Director, and Applied Econometrics Professor
9:15 AM9:45 AMAI's Models of the World, and OursJon Kleinberg, Professor of Computer Science & Information Science, Cornell University
9:45 AM10:15 AMWhy We Must Go Beyond Post-Training for Robust AI AlignmentDylan Hadfield-Menell, Assistant Professor of Artificial Intelligence and Decision Making, MIT
10:15 AM10:45 AMScalable Evaluation of Multimodal AI Systems for Creative OptimizationBahareh Azarnoush, Director, Multimodal Generative AI & Causal Inference, Netflix
10:45 AM11:15 AMBreak 
11:15 AM11:45 AMEvaluation Under Pressure: Lessons from Deploying Clinical AI at ScaleZachary Lipton, Cofounder & CTO, Abridge | Associate Professor of Machine Learning, Carnegie Mellon University
11:45 AM12:15 PMAI and Human LearningEmma Brunskill, Associate Professor of Computer Science, Stanford University
12:15 PM1:45 PMLunch & Poster Session 
1:45 PM2:15 PMThe Benchmark ProblemBenjamin Recht, Professor of Electrical Engineering & Computer Sciences, UC Berkeley
2:15 PM2:45 PMBenchmarking to Advance the AI FrontierOfir Press, Research Scientist, Meta FAIR
2:45 PM3:15 PMKeeping up with AI capabilitiesDavid Rein, Member of Technical Staff, METR
3:15 PM3:45 PMBreak 
3:45 PM4:15 PMTowards Self-Driving Software ReliabilityAnish Agarwal, CEO, Traversal | Assistant Professor, Columbia University
4:15 PM4:45 PMOptimize Your Agent's GPA with Coding AgentsAnupam Datta, Principal Research Scientist, Snowflake
4:45 PM6:00 PMReception & Poster Session