Resume
Academic Achievements
- Conference Publications:
- - "Adversarial Example Decomposition", ICML Workshop 2019
- - "Differentiating through the Fréchet Mean", ICML 2020 (equal contribution)
- - "Neural Manifold Ordinary Differential Equations", NeurIPS 2020
- Journal Publication:
- - "Sobolev Orthogonal Polynomials on the Sierpinski Gasket", Journal of Fourier Analysis and Applications, 2021
- Honors and Awards:
- - Tanner Dean’s Scholar, Cornell University
- - Rank 122/4638 in 2017 William Lowell Putnam Mathematical Competition
- - 4th Place, Cornell Mathematical Contest in Modeling 2018
- - Honorable Mention, International Mathematical Contest in Modeling 2019
Research Experience
- Local Elasticity and Generalization of Neural Networks, advised by Prof. Weijie Su
- Cornell REU 2020: Analysis and Implementation of Spectral Method, advised by Prof. Alex Townsend
- Cornell SPUR 2019: Orthogonal Polynomials on the Sierpinski Gasket, advised by Profs. Kasso Okoudjou and Robert Strichartz
- Research project: First-order Methods on Large-scale Convex Optimization Problems, advised by Prof. James Renegar
- Undergraduate thesis: Proximal Bundle Methods and Nonlinear Acceleration, advised by Prof. Adrian Lewis