Uninspired Mathematician

I am currently a PhD candidate in Applied Mathematics advised by Professor MohammadTaghi Hajiaghayi at the University of Maryland. I studied mathematics and biology at Cornell University from 2015 to 2019 and began my PhD in August 2020 after working for a year as a research associate at the Yale School of Medicine under Dr. Hal Blumenfeld.

Broadly, I am interested in approximation algorithms, auction / mechanism design, and game theoretic problems with work published at NeurIPS, AAAI, AAMAS, and ICML. A fundamental theme underlying my research is the application of different concepts of “fairness” to theoretical problems in algorithmic design.

Latest Publication News: I will be at NeurIPS in December to present on our two recent works “An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits” and “Fair Polylog Approximate Low-Cost Hierarchical Clustering” with my fantastic coauthors. Reach out if you want to meet up in New Orleans!

August 29th, 2022: Awarded Nokia Bell Labs’ Outstanding Innovation Award for my summer research in the Modeling & Optimization group. We look forward to publishing this work in the near future!

May 6th, 2022: Awarded University of Maryland’s Aziz/Osborn Gold Medal in Teaching Excellence for the 2021-2022 academic year.

April 4th, 2022: I am incredibly excited to share that I was awarded the National Science Foundation (NSF) graduate research fellowship! I want to give a very warm shoutout to my mentors and peers from Cornell, Yale, the NIH, and UMD for all their help to get me to this stage of my career.