CV

Education

• PhD student in Computer Science, NYU, 2024 – Present
• MEng in Computer Science, MIT, 2024
• S.B. in Computer Science, MIT, 2022
• S.B. in Linguistics, MIT, 2022

Research experience

• February 2023 – January 2024: Student Researcher, Hyunghoon Cho Lab and Berger Lab
  • Implementing cryptographically-secure polygenic risk score (PRS) estimation in federated data setting
  • Developing algorithms for random variate sampling under homomorphic encryption
  • Security benefits promise larger-scale database collaborations and enhanced patient privacy
• February 2020 – June 2021: Undergrad Research Assistant, Regina Barzilay Lab
  • Developed reinforcement learning approach for reconstructing proto-languages from daughter languages
  • Defined metric to quantify similarity of alternative proposals of historical sound changes
  • Model achieves comparable performance to linguistic gold standard (89.5% of sound laws)

Skills

• Programming languages: Python, TypeScript/Javascript, Golang
• Natural languages: English (native), Mandarin (heritage), Latin (aspirant)

Selected coursework

• Cryptography and Cryptanalysis (6.875)
• Advanced Complexity Theory (18.405)
• Economic Analysis as a Frontier of Theoretical Computer Science (ECON 2070/CS 237, taken at Harvard)
• Foundations of Information Policy (6.805)
• Foundations of Program Analysis (6.820)