Data Science
Causal Science Conference: Frontiers in AI Evaluation (Apr 24)
Bringing together leading voices across academia and industry: Guido Imbens (Stanford), Jon Kleinberg (Cornell), Dylan Hadfield-Menell (MIT), Bahareh Azarnoush (Netflix), Anish Agarwal (Traversal/Columbia), Anupam Datta (Snowflake), and many others!
Our mission: enable data-driven discovery at scale
and expand data science education — across Stanford and beyond
Learn about our key activities:
Early-Career Researchers
The Stanford Data Science Scholars and Postdoctoral Fellows programs identify, support, and develop exceptional graduate student and postdoc researchers, fostering a collaborative community around data-intensive methods and their applications across virtually every field.
Faculty-Led Research Centers
Stanford Data Science is home to four faculty-led Research Centers, each offering opportunities to collaborate with researchers across campus who share an interest in specific data science disciplines.
Marlowe GPU-Based Computational Instrument
Stanford’s GPU-based computational instrument, named Marlowe, is a new, high-performance compute cluster available to Stanford investigators for creating, analyzing, and using large-scale models.
Upcoming Events
-
Class/Seminar
Matt Beane | Precision Proactivity: Measuring Cognitive Load in Real-World AI-Assisted Work
-Gates Computer Science Building -
Marlowe
NVIDIA & Marlowe: Training Robots with World Foundation Models
-CoDa Building, Room W101, 1st floor, 389 Jane Stanford Way, Stanford, CA 94305 -
Causal Science Conference
Stanford Causal Science Conference
Frontiers in AI Evaluation-Li Ka Shing Center for Learning and Knowledge, 291 Campus Drive, Stanford, 94305
