SueYeon Chung

https://73f18d74-a-62cb3a1a-s-sites.googlegroups.com/site/sueyeonchung/home/apgujung.jpg?attachauth=ANoY7coVap1Yi2A929kl8g0e5FT6qZmxR1dFUERV2f1r8FUGgcVh9ZbTNOUhpI_kBn3Rx4ZVAGeLGkz1XBWo6xxerV5VcBPnnmrStlHcL4Ajf5DdZq6i5TKkZYGiSaufF1e4NzdMgsFsIkkMixFcu3OsTwgrUkFaJqtmjSaathWL90cWcFvpnQOG1oAYQHWmqFXUA6SBbdF7QFkDIZPyPD5ERqxQloJN2Q%3D%3D&attredirects=0

Email: sueyeon {at} mit {dot} edu
Address: 
Bldg. 46-4115A, 43 Vassar Street 
Cambridge, MA 02139 USA





I am a BCS Fellow in Computation at MIT. My research interests are computational neuroscience and deep learning. Specifically, I am interested in understanding how computations in the brain and artificial neural networks transform the manifold-like neural representations, using tools in theoretical physics and applied math. I am also a visiting researcher at Center for Theoretical Neurosciece at Columbia University. Before this, I did research at The Swartz Program for Theoretical Neuroscience at Harvard University, as well as
The Edmond & Lily Safra Center for Brain Sciences at the Hebrew University of Jerusalem

Education
Ph.D. in Applied Physics, Harvard University 
        
Thesis Title: Statistical Mechanical Theory of Invariance Manifolds in Neural Networks
        Advisors: 
Haim Sompolinsky (Primary advisor), Ryan P. Adams (SEAS co-advisor) 
B.A. in Physics and Mathematics, Cornell University 
        Magna Cum Laude and Rawlings Presidential Research Scholar

Publications

Conference Posters  
  • Linear Readout of Object Manifolds.
    • Organization for Computational Neurosciences (OCNS) Annual Meeting, Jeju Island, South Korea, July 2016 
    • Gatsby Tri-Center Meeting on Theoretical Neuroscience, London, UK, June 2016 
    • COSYNE Main Meeting, Salt Lake City, Utah, Feb 2017
  • Quadratic Decoder for Invariant Perceptual Discrimination. COSYNE Main Meeting, Mar 2012
  • Activating Backside Junctions in Thin Silicon Pixel Detectors through Laser AnnealColumbia Univ. Spring Undergrad. Research Symposium, 2008 

Talks (selected)   
  • CNS 2018 Workshop: "How does learning reshape dimensionality of collective network activity?", Seattle, WA, July 2018
  • COSYNE 2018 Workshop: "Manifold-splaining: what the theorist said to the experimentalist", Breckenridge, CO, Mar 2018
  • External Seminar, Gatsby Computational Neuroscience Unit at UCL, London, UK, Oct 2017    
  • CRC Robust Vision Symposium, Tübingen, Germany, Sep 2017 
  • Gatsby Tri-Center Meeting on Theoretical Neuroscience, Jerusalem, Israel, June 2017
  • COSYNE 2017 Workshop: "Deep Learning" and the brain: understanding neural representations with deep networks, Snowbird, UT, Feb 2017
  • Annual Sloan-Swartz Meeting for Computational Neuroscience, California Institute of Technology, Pasadena, CA, Aug 2016
  • Neurolunch, Center for Brain Science, Harvard University, Cambridge, MA, May 2015 
  • Computational Neuroscience Seminar, Center for Brain Science, Harvard University, Cambridge, MA, May 2013
  • Annual Sloan-Swartz Meeting for Computational Neuroscience, Salk Institute/UCSD, San Diego, CA, June 2012
  • Computational Neuroscience Seminar, Center for Brain Science, Harvard University, Cambridge, MA, Sep 2011

Teaching

Brains, Minds, Machines course, Summer 2015 (Marine Biology Laboratory, Woods Hole, MA)
Brains, Minds, Machines course, Summer 2016 (Marine Biology Laboratory, Woods Hole, MA)
Brains, Minds, Machines course, Summer 2017 (Marine Biology Laboratory, Woods Hole, MA)


See also

Curriculum Vitae [PDF]
Machine Learning Tea at Harvard [Link]
Harvard Intelligent Probabilistic Systems Blog [Link