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Eleventh Annual McNair Symposium

View full event details below and register here to attend.

Event Details

Date

Wednesday, April 26, 2023

9:00 a.m. – 12:00 p.m.

Location

Jan and Dan Duncan Neurological Research Institute (NRI)
at Texas Children’s Hospital
7th Floor Conference Center
1250 Moursund St
Houston, TX 77030

Featuring

Matthew Botvinick, M.D., Ph.D.

Senior Director of Research, DeepMind
Honorary Professor, Gatsby Computational Neuroscience Unit
University College London

Schedule

9:00 a.m.

Poster Session by McNair Scholars and McNair M.D./Ph.D. Students 

7th Floor Lounge, Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital

10:00 a.m.

Keynote by Dr. Matthew Botvinick 

Auditorium, Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital  

11:00 a.m.

McNair Scholar Oral Presentation – Dr. Shawn Zhang

McNair M.D./Ph.D. Scholar Oral Presentation – Eric Wang

7th Floor Lounge, Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital 

About the Speaker

Matthew Botvinick, M.D., Ph.D. is senior director of Research at the London-based artificial intelligence company DeepMind and an honorary professor at the Gatsby Computational Neuroscience Unit at University College London (UCL). After completing his Doctor of Medicine at the Joan & Sanford I. Weill Medical College of Cornell University, he combined a psychiatric residency at the University of Pittsburgh Medical Center Western Psychiatric Institute and Clinic with a Doctor of Philosophy in computational and cognitive neuroscience at Carnegie Mellon University. After a number of years at the Center for Cognitive Neuroscience at the University of Pennsylvania, Dr. Botvinick joined the Neuroscience Institute at Princeton University, becoming a full professor there in 2013. In 2016, he assumed his current positions at DeepMind and UCL. Dr. Botvinick’s research straddles the boundaries between neuroscience, cognitive science and artificial intelligence, with a focus on goal-directed behavior and reward-driven learning. At DeepMind, he leads a multidisciplinary team engaged both in neuroscience research and the development of artificial intelligence technology. 

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