Dr. Kimberly Stachenfeld is a research scientist at Google DeepMind. Having done her PhD on reinforcement learning in the hippocampus with Prof. Matthew Botvinick at Princeton, she joined DeepMind, where she continues her academic work along with industry projects.
There are many bright young people, but few are as reflective and eloquent as Kimberly. She has been working with outstanding scientists in stimulating environments throughout her training, and she can articulate the lessons she gleaned with admirable clarity.
In this episode, we discuss:
-why reinforcement learning is so successful
-what graduate students can learn from school teachers
-difference between neuroscience and enginneering&math subcultures
-how machine learning can be used to advance neuroscience and vice versa
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