CV

Full CV here

Education

Ph.D in Computer Science, University of California San Diego (in progress), GPA 4.0/4.0
- Advisor: Berk Ustun
- Research Topics: Human-Centered Machine Learning, Participatory Design, Fairness, Interpretabilty
- Relevant Coursework: Statistical Learning; Deep Generative Models; Graduate Machine Learning; Trustworthy Machine Learning; Interpretable \& Explainable Machine Learning; Computer Security \& Privacy;
B.A. in Computer Science, Harvard College, 2019, Cum Laude in Field
- Relevant Coursework: Advanced Topics in Data Science; Intro to Machine Learning; Critical Thinking in Data Science; Data Science I; Research Topics in Human-Computer Interaction; Probability; Theory of Networks; Theory of Computation; Programming Fundamentals; Functional Programming; Linear Algebra; Privacy and Technology; Discrete Mathematics
- Project Websites: Dog Breed Classification, Interpretable Cancer Diagnosis