# 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