About
Hello! I am a PhD student at UT Austin, studying theoretical computer science. I am fortunate to be advised by Prof. Dana Moshkovitz. As of September 2023, I am supported by an NSF Graduate Research Fellowship.
I received my bachelor’s degree from Princeton in 2021, where I am grateful to have worked with Prof. Ben Raphael on algorithms for computational genomics, and with Prof. Matt Weinberg on algorithms for graphs and matroids. In high school, I am fortunate to have worked with Prof. Shannon Quinn at the University of Georgia on applications of machine learning to MRI data. I have also contributed to open source projects, particularly the MediaWiki Project.
My email is the best way to reach me!
Recent Work
- Vinayak M. Kumar and Geoffrey MonRelaxed Local Correctability from Local TestingPreprint (2023) • ECCC TR23-093 • arXiv:2306.17035
- Geoffrey Mon, Dana Moshkovitz, and Justin OhApproximate Locally Decodable Codes with Constant Query Complexity and Nearly Optimal RatePreprint (2023) • ECCC TR23-056
- Ron Zeira, Geoffrey Mon, and Benjamin J. RaphaelGenome Halving and Aliquoting Under the Copy Number Distance