Education

Academic background and continuous learning

M.S. Computer Science

University of San Francisco

Expected Dec 2026
  • ▸GPA: 4.0
  • ▸Coursework: Distributed Systems, Machine Learning, Cloud Computing, Database Systems
  • ▸Additional study: Software Engineering, Computer Networks, Artificial Intelligence, Parallel Computing, Information Security

M.S. Economics (MSECON)

Georgetown University

2022 – 2024
  • ▸Graduate study in economics, quantitative reasoning, and computational econ

B.S. Economics

University of Connecticut

Aug 2019 – May 2022
  • ▸Undergraduate foundation in economics and analytical thinking

Certifications & Self-Learning

  • ▸Stanford Machine Learning Specialization
  • ▸MIT CS 6.824