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.
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.
November 21st, 2022: Publication news: our latest paper “Optimal Sparse Recovery with Decision Stumps” has been accepted to AAAI 2023. Check back soon for the preprint and plan to stop by our presentation in DC this February!
September 17th, 2022: Publication news: we recently had our paper “Online Algorithms for the Santa Claus Problem” accepted to NeurIPS 2022! I look forward to seeing everyone in New Orleans this fall. I additionally had my paper “A machine-learning approach for predicting impaired consciousness in absence epilepsy” accepted to Annals of Clinical and Translational Neurology.
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.