Jacob Feitelberg

I am a Ph.D. student in Operations Research at Columbia University. I am currently being advised by Prof. Anish Agarwal and working on projects on causal inference and artificial intelligence. I completed my M.S.E. in Applied Mathematics and Statistics at Johns Hopkins University in 2023. My thesis, titled “Globally Optimal Matching of Astronomy Catalogs Using Mixed Integer Quadratically Constrained Programming and Constrained Clustering,” was advised by Prof. Amitabh Basu and Prof. Tamás Budavári.

My interests include optimal transport, causal inference, optimization, and control theory.