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CHEN GRADUATE FELLOWS, 2019 - 2020

Social and Decision Neuroscience

Headshot of Sharon Chen

Sharon Chen

Sharon's research interest is in the neurological basis of social behavior and emotion, and its changes in psychiatric disorders. She received her Bachelor of Science in Computer Science, in the Intelligent Systems track, at Columbia University. She has a background in machine learning and artificial intelligence, robotics, and natural language processing.
Headshot of Yameng Zhang

Brenden Eum

Brenden’s research interests are in neuroeconomics, behavioral economics, decision theory, economics of information, and experimental economics. He is particularly interested in models of perception and choice under limited attention and cognition. He received a Bacholer in Economics (with a minor in Mathematics) from New York University, completed a Masters in Economics at Columbia University, and has been working as an applied micro research assistant at Columbia Business School for the past two years.

Neurobiology

Headshot of Sabera Talukder

Sabera Talukder

Sabera seeks to understand how the brain relies on various types of electrical and chemical feedback to influence thoughts, moods, and behaviors. She has a Bachelor of Science with a double major in Electrical Engineering and Biochemistry from Stanford University. She has been working in neurobiology research under Professor Tom Clandinin exploring the mechanisms by which visual memory is learned in fruit flies. As well as neuroscience Sabera is very interested in using her knowledge and experience to develop systems to help people in third world countries. She created, built and deployed a water purification system in daycares for street children in Dhaka, Bangladesh.
Headshot of Yameng Zhang

Yameng Zhang

Yameng received a Bachelor of Science in Neuroscience from Columbia University. She has spent the past year as a research assistant in two different labs at Columbia. The Zucker lab research is focused on elucidating mechanisms used for signal transduction and information processing in sensory systems. Research in the Laboratory for Intelligent Imaging and Neural Computing, under Paul Sajda, uses principles of reverse “neuro”-engineering to characterize the cortical networks underlying perceptual and cognitive processes, such as rapid decision making, in the human brain.

Computational and Neural Systems

Headshot George Barnum

George Barnum

George received a Bachelor of Science in Neuroscience and Cognitive Science, Mathematics, and Computer Science from the University of Arizona. He was an undergraduate research associate in the lab of Dr. Shaowen Bao where the research goal is to understand sensory processing.
Headshot of Kejun Li

Kejun Li

Kejun received a Bachelor of Science in Math and Computer Science and Neuroscience and Behavioral Biology from Emory University. For the past two years she has been an undergraduate researcher in the Systems Neural Engineering Lab where research centers on understanding how large populations of neurons in the brain perform computations and represent intention. These insights are used to develop high-performance, robust, and practical assistive devices for people with disabilities and neurological disorders.
Headshot of Yue Xu

Yue Xu

Yue received a Bachelor of Science in Computer Science with an additional major in Physics and a minor in Neural Computation from Carnegie Mellon University. Yue has spent the last year as a research assistant at the Center for the Neural Basis of Cognition, Carnegie Mellon University. She investigated the connections between scene statistics and neuronal codes at the individual level and at the population level.


Previous years Chen Graduate Fellows:
2018 - 2019
2017 - 2018