Focus: convex and non-convex optimization, machine learning

Using Hadamard product parameterization to evaluate the efficacy of gradient descent in solving least squares problems in sparse contexts

Investigating connections between the low-rank matrix case and sparse vector case

Worked as a full stack developer on ForeFlight's Accounts and Commerce team Leveraged React, Spring Boot, and PostgreSQL to implement the company's patent-pending fleet e-commerce system, allowing business customers to purchase high-ticket subscriptions ($1000 – $8000 per year per aircraft)

Deployed the first fully-functional product to about 4000 businesses, each of which manages many aircraft