I am a Principal AI Scientist at Meadow AI, a company which leverages AI to improve the efficiency of counter serve restaurants. Previously, I was a Senior Staff Applied Scientist at Afresh and a Senior Research Scientist at Amazon. I earned my Ph.D. in Operations Research at UC Berkeley, where I was advised by Professor Ilan Adler. I hold an undergraduate degree in Mathematics from MIT. I am primarily interested in discrete optimization problems, especially in settings that include graphs and machine learning.

Rehearsal Scheduling: Developing An Optimization Solution With Practitioner Input
Conference on the Practice and Theory of Automated Timetabling (2020)
Conference

New Algorithms for Three Combinatorial Optimization Problems on Graphs
Dissertation (2020)
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Solving (k-1)-Stable Instances of k-Terminal Cut with Isolating Cuts
Conference on Combinatorial Optimization and Applications (2019)
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Detecting Aberrant Linking Behavior in Directed Networks
Knowledge Discovery and Information Retrieval (2019)
Conference

The Dimension of Valid Distance Drawings of Signed Graphs
Discrete & Computational Geometry (2019)
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Isolation Branching: A branch-and-bound algorithm for the k-terminal cut problem
Conference on Combinatorial Optimization and Applications (2018)
Mixed Integer Programming Workshop (2019)
Journal of Combinatorial Optimization (2020)
Journal | Conference | GitHub | YouTube | Poster

DISPATCH: An optimally-competitive algorithm for online perfect bipartite matching with i.i.d. arrivals
Workshop on Approximation and Online Algorithms (2018)
Theory of Computing Systems (2019)
Journal | Conference | YouTube

Short combinatorial proof that the DFJ polytope is contained in the MTZ polytope for the Asymmetric Traveling Salesman Problem
Operations Research Letters (2017)
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Redundancy-d: The power of d choices for redundancy
Operations Research (2017)
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