Shuchen Li李舒辰

Ph.D. Student
Department of Computer Science
Yale University

Email: shuchen [dot] li [at] yale [dot] edu

About Me

I am a first-year Ph.D. student in Computer Science at Yale University, where I am fortunate to be advised by Manolis Zampetakis and Ilias Zadik. I am broadly interested in theoretical computer science, particularly algorithms, computational complexity, and their intersection with mathematics.

Prior to Yale, I obtained my M.S. in Computer Science from Carnegie Mellon University, working with Pravesh Kothari. I completed my undergraduate studies in the Turing Class at Peking University, advised by Qian Li.

Research Paper

• On the Hardness of Learning One Hidden Layer Neural Networks
  with Ilias Zadik, Manolis Zampetakis
  [Preprint]

Theses

• Robust Mean Estimation Against Oblivious Adversaries
  Master's Thesis
  [Slides]
• Applications of Lagrangian Duality in Boolean Function Analysis
  Bachelor's Thesis
  [Slides]

Teaching

• Fall 2021, Fundamentals of Cryptography, Peking University
• Fall 2020, Discrete Mathematics and Structures, Peking University