Education and Honors

Education

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

Selected Awards

  • 2019: NSF Graduate Research Fellow
  • 2019: Hertz Foundation Fellowship - Semifinalist
  • 2017: Harvard College Research Program - Summer Researcher
  • 2016: Harvard College Teaching Assistant - Derek Bok Award for Teaching Excellence
  • 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

UC Berkeley

  • Graduate Coursework: Advanced Robotics, Linear Systems Theory, Optimization Models, Probabilistic Modeling in Genomics, Theoretical Statistics II, Statistical Models: Theory and Applications I, II, Teaching of Probability and Statistics

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