These seminars are a platform for trainees across campus to share insights and innovative approaches that bridge the gap between neuroscience and data science.
As neuroscience continues to generate vast amounts of data—from intricate neural circuit maps to large-scale brain activity recordings—the need for interdisciplinary expertise in data science, statistics, and engineering has never been more critical.
Stanford's affiliates are invited to join this vibrant community dedicated to transformative discoveries.
A joint center of Stanford HAI and the Wu Tsai Neurosciences Institute
Analyzing and deriving insight from these complex datasets requires expertise spanning neuroscience, data science, statistics, computer science, engineering, psychology, and more.
Foster Interdisciplinary Research: Facilitate new collaborations between faculty and students from diverse departments.
Develop Novel Methodologies: Drive the creation of new computational and statistical tools for neural data analysis.
Train the Next Generation: Provide comprehensive training opportunities for students at all levels.
Promote Community Engagement: Disseminate knowledge and engage with the broader scientific community and public.
Build bridges across HAI Research Centers: Build relationships with other centers, including the Open Science and Causal Science centers, through joint events.
Time & Location
The group meets on Mondays from 4:00 - 5:30 PM in the Stanford Neurosciences Building, James Lin and Nisa Leung Seminar Room, room E153.
Happy Hour/Reception for Attendees
Seminars attendees are invited to stay for a happy hour reception after the seminar to continue the conversation with the speaker.
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