Abhijit Chowdhary is a computational mathematician and postdoctoral researcher with a decade of experience applying mathematical foundations to large-scale inverse problems governed by PDEs. Trained at North Carolina State University (PhD, 4.0) and NYU, he focuses on scalable algorithms for Bayesian inference and uncertainty quantification in physical systems. His work bridges theory and high-performance computation, informed by internships at Argonne National Laboratory and a research appointment at Tufts University. Known for rigorous numerical methods and a pragmatic sense of humor about debugging, he aims to make uncertainty analysis practical for real-world modeling and control.
10 years of coding experience
Doctor of Philosophy - PhD, Computational and Applied Mathematics, 4.0, Doctor of Philosophy - PhD, Computational and Applied Mathematics, 4.0 at North Carolina State University
Mathematics and Computer Science, Mathematics and Computer Science at New York University
High School, Mathematics, Physics, Computer Science, 12, High School, Mathematics, Physics, Computer Science, 12 at Hammond High school
Contributions:77 commits, 70 pushes, 1 branch in 3 years
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Abhijit Chowdhary - Postdoctoral Researcher at Tufts University