Uninspired Mathematician

I am currently a PhD student in Applied Mathematics at the University of Maryland, working with Professor MohammadTaghi Hajiaghayi. I am mainly interested in approximate algorithms, auction / mechanism design, and game theoretic problems with work published at NeurIPS ‘22, AAAI ‘23, and AAMAS ‘23.

I did my undergraduate studies in Mathematics with minors in Biological and Cognitive Sciences at Cornell University. Between my undergraduate and graduate schooling, I worked as a post-graduate research associate at Yale University’s School of Medicine in the field of computational neuroscience with Dr. Hal Blumenfeld. My research focused on the applications of machine learning and data science approaches to EEG and fMRI in an effort to better understand and treat absence epilepsy. This work has appeared at multiplie American Epilepsy Society (AES) meetings and been published in the journals NeuroImage as well as Annals of Clinical and Translational Neurology (ACTN).

Latest Publication News: We have been accepted to present at AAMAS 2023 in London this summer on our paper “Analysis of a Learning Based Algorithm for Budget Pacing”. Hope to see some old friends and make some new ones while we’re there!

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.