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. As of May 2022, I am a visiting researcher at Bell Labs working under the advisement of Dr. Matthew Andrews on problems relating to reinforcement learning, computer vision and modeling.

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.

May 6th, 2022: Awarded the 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.