Academic Credentials
  • Ph.D., Electrical Engineering and Computer Sciences, University of California, Berkeley, 2021
  • B.S., Electrical & Computer Engineering, Cornell University, 2015
Academic Appointments
  • Postdoctoral Scholar, Electrical Engineering and Computer Sciences, University of California, Berkeley, 2022-2025
  • Graduate Student Researcher, Electrical Engineering and Computer Sciences, University of California, Berkeley, 2015-2021
  • Graduate Student Instructor, Electrical Engineering and Computer Sciences, University of California, Berkeley, 2019
  • Graduate Student Instructor, Electrical Engineering and Computer Sciences, University of California, Berkeley, 2017
Professional Honors
  • National Science Foundation Graduate Research Fellowship, 2016-2021
  • Departmental Fellowship, UC Berkeley Electrical Engineering and Computer Sciences, 2015-2016
  • William S. Einwechter Award, Cornell School of Electrical and Computer Engineering, 2015
  • Merrill Presidential Scholar, Cornell University, 2015
  • Hunter R. Rawlings III Cornell Presidential Research Scholarship, Cornell University, 2011-2015
  • Burckmyer/LaTour Scholarship, Cornell University, 2012-2013
  • A. L. Frank and Barbara Lippe, M.D. Engineering Scholarship, Cornell University, 2011-2013
  • Intel Science Talent Search Semifinalist, Society for Science & the Public, 2011
Languages
  • Korean

Dr. Han is trained in electrical engineering, and he is an applied mathematician with a broad background in mathematical modeling, optimization, signal processing, and computational neuroscience. He has considerable experience in conducting interdisciplinary projects, many of which have combined ideas and techniques in statistics, machine learning, control systems, and biology. With his background and experience, he has applied his expertise to various fields ranging from defense and telecommunications to medical technology.

Prior to joining Exponent, Dr. Han was a postdoctoral researcher in the Department of Electrical Engineering and Computer Sciences at University of California, Berkeley, where he also completed his Ph.D. At Berkeley, he worked with experimentalists in both optics and neuroscience to develop a hybrid experimental/computational approach to quickly estimate the causal connectivity among hundreds of neurons in awake and behaving mice. Starting from fundamental biophysical principles, he formulated mathematical models, developed tailored estimation and control algorithms, and collaborated with neuroscientists to carry out experiments involving multiphoton holography optogenetics.

Dr. Han has extensive experience in MATLAB, Linux-based systems, and theoretical and/or computational works including those that incorporate parallel processing and GPU acceleration. He has also worked on multiple projects using C, Java, Mathematica, Python, R, and VB.NET.