SueYeon Chung PhD
SueYeon received her PhD in Physics at Harvard University and B.A. in Mathematics and Physics at Cornell University. She is currently an assistant professor at NYU Center for Neural Science and a group leader at Flatiron Institute Center for Computational Neuroscience.
Jenelle received her PhD from MIT in Brain and Cognitive Sciences, and S.B. from MIT in Physics and Brain and Cognitive Sciences. She is currently a research fellow at Flatiron Institute Center for Computational Neuroscience.
Abdul received his PhD from Harvard University in Physics, B.Sc. from Sabanci University in Electronics Engineering and Physics. He is currently a research fellow at Flatiron Institute Center for Computational Neuroscience, interested in the intersection of machine learning and neuroscience.
Chi-Ning Chou PhD
Chi-Ning is a Flatiron Research Fellow in Professor SueYeon Chung group at the Flatiron Institute. He earned his Ph.D. from Harvard University in 2023 Spring, advised by Professor Boaz Barak. Currently he focuses on developing frameworks and quantitative methodologies for building up computational understandings of the brain at the neural population level.
PhD Student (Co-advised)
Sonica is interested in the neural circuitry underlying our visual abilities and how neural tuning properties shape population-level geometry in early visual areas. She uses experimental approaches (neurophysiology in macaques), mathematical derivations, and simulations to study these questions. Outside of work, she loves to explore different neighborhoods of NYC and practice yoga.
PhD Student (Co-advised)
Isabella is from Minnesota, and did undergrad at Northwestern University in Chicago. She studied biomedical engineering and integrated sciences, with a minor in philosophy. After graduating, she worked in the Gottlieb group at Columbia University and studied human information seeking behaviors. She is now a first year graduate student in NYU's Center for Neural Science. Outside of science, she has participated in drug policy and harm reduction activism, and loves to hang out with her dog!
PhD Student (Co-advised)
Jose is interested in how the hippocampus, a well characterized brain region involved in episodic memory, integrates information from different modalities (spatial,temporal,contextual) to paint a flexible picture of the present and past world. Currently, he is exploring how manifold representations may help differentiate contexts during spatial navigation.
Nga Yu graduated from Macaulay Honors College at CUNY Hunter College with B.A. in mathematics and computer science. She is interested in the intersection between artificial intelligence and computational neuroscience. Currently, she is working on extending the theory of manifold capacity and understanding the underlying geometries in high dimensional data. In her free time, she enjoys hiking and drawing.
Luke received his B.S. in Physics and B.A. in Philosophy at Bethel University. He formerly worked at the JHU Lab for Computational Sensing + Robotics, MIT Center for Brain & Cognitive Science, and as a data scientist at SAIVA AI. He is currently a graduate student at the NYU Center for Neural Science.
Will received his BS in Mathematics and BA in Neuroscience from Rice University. He is now working on his Neuroscience PhD at NYU, where he is broadly interested in computational neuroscience.
Ariel is an undergraduate student in Computation and Cognition at MIT and a Summer Research Assistant at the Flatiron Institute.
Shaunak is an undergraduate at Stanford studying math and neuroscience. In his current research, he has been working on developing biologically plausible neural network models that aim to capture one-shot learning in the hippocampus. As part of Dr. SueYeon Chung's group this summer, he plans to develop a mathematical framework for assessing how neural populations can develop flexible, abstract representations when trained in a multi-task regime.
Zijing is a Mathematics and Computer Science undergraduate student at Georgia Tech, with a minor in psychology, who will be interning at Flatiron Institute for summer research. He is excited to explore the role of stochasticity plays in both of biological and artificial neural networks. Apart from academic life, he finds enjoyment in reading, playing table tennis and soccer, and listening to classical music and jazz.
Francesco is a PhD candidate in Experimental Psychology at New York University. Before that, he received a M.Sc. degree in Cognitive Science from the University of Trento and worked as a research intern at the Max Planck Institute for Psycholinguistics and at the Bruno Kessler Foundation. He will be a summer intern at the Flatiron Institute (CCN) working in the NeuroAI and Geometric Data Analysis group led by Dr. SueYeon Chung. In his free time he enjoys live music, hiking, running and swimming.
Yichen is an undergraduate student at University of California, Los Angeles, with intended majors in Mathematics and Physics. He is currently a research assistant at UCLA Computational Vision & Learning Lab and a research intern at Flatiron Institute Center for Computational Neuroscience.