I am a PhD candidate in the Computer Science Department at the University of Maryland, College Park, where I also received my MS in 2020. My research is on large-scale graph algorithms, fairness in machine learning, computational geometry, and graphical models for economic markets. I am co-advised by Prof. MohammadTaghi Hajiaghayi and Prof. John Dickerson. My research for the 2021-2022 academic year is supported by the Ann G Wylie Dissertation Fellowship and the ARCS Endowment Award. I was a Finalist for the 2022 Meta Research PhD Fellowship.
Previously, I attended Harvey Mudd College. In 2018, I completed my BS in Computer Science & Mathematics with high distinction, honors in math and computer science, as well as the Class of ‘94 award for outstanding course work, research, and service in CS. There, I conducted research in algorithms for computational biology with Prof. Yi-Chieh (Jessica) Wu and in scheduling and planning with Prof. Jim Boerkoel and Dr. Jeremy Frank of NASA Ames. I also partook in csteachingtips with Prof. Colleen Lewis.
This summer, I am researching deep learning methods for predicting algorithmic runtime on distsributed architectures at Google. In previous summers, I have: interned at TTIC working with Prof. Avrim Blum and Prof. Saeed Seddighin in algorithmic game theory, researched intelligent embeddings of ads data at Amazon (2020), studied fairness in hierarchical clustering at Google (2019), developed neural networks for ranking problems at Facebook (2018), researched topics in complexity theory under Prof. Eric Allender at the Rutgers DIMACS REU (2017), and developed backend software at Bloomberg (2016).
Last updated on 7/18/22.