Aaron Lou

Cornell '21 Math and CS

I'm a senior at Cornell University double majoring in math and computer science advised by Professor Chris De Sa. I'm primarily interested in applications of topological and geometric methods in deep learning, and in my free time I enjoy competitive math and coding. You can read my blog here, where I talk about a variety of topics of interest.

I am actively seeking PhD advisors for Fall 2021.

[Email:   al968@cornell.edu] [Google Scholar] [LinkedIn] [Github] [CV]


  • Dec 2020: Honorable mention in CRA 2021
  • Sep 2020: Paper accepted at NeurIPS 2020 and paper accepted to NeurIPS DiffGeo4DL workshop
  • Aug 2020: Completed research internship at Facebook
  • Jul 2020: Paper accepted at ICML 2020 and a spotlight at INNF workshop
  • Feb 2020: Won a bronze medal in ICPC North American Championship [Blog Post][Press Release]
  • Dec 2019: Placed top 350 in William Lowell Putnam Mathematical Competition
  • Oct 2019: Won first place in ICPC Greater New York Regional [Press Release]


Deep Riemannian Manifold Learning
NeurIPS Geo4dl Workshop 2020

Aaron Lou, Maximilian Nickel, Brandon Amos

Neural Manifold Ordinary Differential Equations
NeurIPS 2020

Aaron Lou*, Derek Lim*, Isay Katsman*, Leo Huang*, Qingxuan Jiang, Ser-Nam Lim, Christopher De Sa

Differentiating through the Fréchet Mean
ICML 2020

Aaron Lou*, Isay Katsman*, Qingxuan Jiang*, Serge Belongie, Ser-Nam Lim, Christopher De Sa

Adversarial Example Decomposition
ICML SPML Workshop 2019

Horace He, Aaron Lou*, Qingxuan Jiang*, Isay Katsman*, Serge Belongie, Ser-Nam Lim

(* indicates equal contribution)

Industry Experience

Facebook AI

Research Intern
May 2020 - Aug 2020


Software Engineering Intern
May 2019 - Aug 2019


Cornell University Artificial Intelligence

Sept 2020 - Present

Undergraduate Researcher
Aug 2018 - Present

Cornell ICPC

Competitive Programmer
Aug 2018 - Present


  • Reviewer for NeurIPS 2020 Workshop DiffGeo4DL
  • Secondary Reviewer for NeurIPS 2020