Michael H. Lim
(Hyun Jae Lim)


UC Berkeley - PhD in Statistics
Harvard University Class of 2018

"ML does ML"

About Michael

I am a PhD student in Statistics at UC Berkeley who loves physics, mathematics, natural sciences, and computational sciences, with a strong background in computational research in quantitative fields. I am interested in research opportunities in modern statistics and machine learning, with intended focus on statistical learning techniques and high dimensional statistics with applications to natural sciences including materials science and computational biology. I received 4th year combined master's degree in Statistics, and Magna Cum Laude with Highest Honors for bachelor's degree in Physics and Mathematics.

Outside of school work and research, I love photographing, choreographing, break dancing, snowboarding, and playing electric guitar.

Education and Honors


University of California, Berkeley

  • 2018-Present: Ph.D. Candidate in Statistics

Harvard University

  • 2017-2018: A.M. in Statistics
  • 2014-2018: A.B. in Physics and Mathematics, Magna Cum Laude with Highest Honors

Stuyvesant High School

  • 2010-2014: NYS Advanced Regents Diploma


  • 2017: Harvard College Research Program - Summer Research Participant
  • 2016: Harvard College Teaching Assistant - Derek Bok Award for Teaching Excellence
  • 2016: Harvard College Term Honor - John Harvard Scholar (Top 5% of the class)
  • 2015: Georgetown Physics REU - Participant and Recipient of NSF Grant
  • 2014: Intel Science Talent Search - Semifinalist(National Top 200)
  • 2014: National Merit Scholarship - Finalist and Recipient
  • 2014: U.S. Physics Team - Gold Medalist and 2-time Semifinalist(National Top 60)
  • 2013: Siemens Competition - Regional Finalist for Individual Research (National Top 30)

Notable Coursework

Harvard University

  • Graduate Coursework: Probability Theory I, II, Statistical Inference I, Multivariate Statistical Analysis, Philosophical Foundation of Statistics, Electromagnetic Interactions with Matter, Market Design
  • Advanced Coursework: Machine Learning, Generalized Linear Models, Stochastic Processes, Game Theory, Probability, Quantum Mechanics I, II, Solid State Physics, Abstract Algebra, Differential Geometry, Linear Algebra and Real Analysis I, II, Vector Space Methods for Differential Equations



  1. Lim, M. H., Yoshimura, B. T., & Freericks, J. K. (2016). Creating analogs of thermal distributions from diabatic excitations in ion-trap-based quantum simulation. New J. Phys. 18 043026. [pdf]
  2. Exoo, G., Ismailescu, D., & Lim, M. (2014). On the Chromatic Number of R4. Discrete Comput. Geom. 52(2): 416. [pdf]


Harvard University

  • 2017: Stat S-106 - Probability, Statistics and Calculus, in Summer 2017 with Prof. Joseph Blitzstein, Prof. Nina Zipser, Prof. Xiao-Li Meng.
  • 2017: Physics 15b - Introduction to Electromagnetism and Statistical Physics, in Spring 2017 with Dr. David Morin (Grader).
  • 2016: Stat 110 - Introduction to Probability, in Fall 2016 with Prof. Joseph Blitzstein.
  • 2015: Math 23a - Linear Algebra and Real Analysis I, in Fall 2015 with Prof. Paul Bamberg.

Research Projects

Previous Research

  • 2016-2018: Stochastic MCMC Simulation - Statistics Research Assistant, Advisor: Prof. Samuel Kou, Harvard University
  • 2015: Computational Condensed Matter - Physics REU Participant, Advisor: Prof. James Freericks, Georgetown University
  • 2015: Condensed Matter Physics - Physics Research Assistant, Advisor: Amir Yacoby, Harvard University
  • 2012-2014: Geometric Graph Theory - Mathematics Research Assistant, Advisor: Geoffrey Exoo (Indiana University), Dan Ismailescu (Hofstra University)

Industry Projects

  • 2016: Quantitative Finance Research - Trading Intern, IMC Financial Markets