Neuroscience from a Data Scientist's Perspect...

What if you could simply tell a recommendation system what you want instead of relying on likes, dislikes, and watch history? Kyle Polich talks with Fuyuan Lyu about the DPR framework, which combines large language models and traditional recommender systems to give users direct c ...  Show more

How can researchers audit recommendation systems when the algorithms are hidden from view? Hieu Le joins Kyle Polich to discuss Auto-Like, a reinforcement learning framework that systematically explores how platforms like TikTok personalize content feeds. The conversation covers ...  Show more

The intersection between cutting-edge neuroscience and the emerging field of network science has been growing tremendously over the past decade. Olaf Sporns, editor of Network Neuroscience, and Distinguished Professor, Provost Professor of Department of Psychological and Brain Sc ...  Show more

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“Big data” and “data science” are terms we hear more and more these days. The idea that we can use these vast amounts of information to understand and analyse phenomena, and find solutions to problems, is gaining prominence, both in business and academia. Cathie Sudlow, Professor ...  Show more

This episode is a discussion with Dr. Jennifer Koop about pediatric neuropsychology. Topics covered include a brief history of the subspecialty of pediatric neuropsychology, the importance of involving neuropsychologists in the care of children, common practi ...