Education and Honors

Education

University of California, Berkeley

  • 2018-Present: Ph.D. Candidate in EECS - Control, Intelligent Systems, and Robotics (CIR)
    2018-2021: Ph.D. Student in Statistics, Transfer to the EECS Program in 2021
    Advisors: Prof. Claire J. Tomlin, Prof. Zachary N. Sunberg (CU Boulder AeroEng)

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

  • 2020: UC Berkeley Graduate Student Instructor - Outstanding GSI Award for 2019-20
  • 2019: NSF Graduate Research Fellow
  • 2019: Hertz Foundation Fellowship - Semifinalist
  • 2017: Harvard College Research Program - Summer Researcher
  • 2016: Harvard College - John Harvard Scholar
  • 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: Integrated Perception, Learning, and Control; Advanced Robotics; Stochastic Control Systems; 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