Abraar Chaudhry

I am a Postdoctoral Fellow in the H. Milton Stewart School of Industrial and Systems Engineering at Georgia Tech.
I am currently working with Katya Scheinberg.
I did my PhD in the Department of Operations Research and Financial Engineering at Princeton University.
My advisors were Amir Ali Ahmadi and Liza (Elizaveta) Rebrova.
You can read my thesis here.
Before Princeton, I did my undergrad at Brown University.
My email is achaudhry61 (at) gatech (dot) edu
Research Interests
I am interested in problems in optimization and the mathematics of data science.
Work in Progress
- Stable Matrices in an Affine Subspace
- Amir Ali Ahmadi, Abraar Chaudhry
- Stable Dynamics driven by Noise
- Abraar Chaudhry, Stephen Tu
Papers
- On Complexity of Model-Based Derivative-Free Methods
- Abraar Chaudhry, Katya Scheinberg
- Proceedings of International Congress of Mathematicians 2026, to appear
- Generalized Ellipsoids
- Amir Ali Ahmadi, Abraar Chaudhry, Cemil Dibek
- Mathematics of Operations Research, to appear
- Learning nonnegative matrix factorizations from compressed data
- Abraar Chaudhry, Elizaveta Rebrova
- In Revision for SIAM Journal on Matrix Analysis and Applications
- Higher-Order Newton Methods with Polynomial Work per Iteration
- Amir Ali Ahmadi, Abraar Chaudhry, Jeffrey Zhang
- Advances in Mathematics
- Safely Learning Dynamical Systems
- Amir Ali Ahmadi, Abraar Chaudhry, Vikas Sindhwani, Stephen Tu
- Foundations of Computational Mathematics
- Safely Learning Dynamical Systems from Short Trajectories
- Amir Ali Ahmadi, Abraar Chaudhry, Vikas Sindhwani, Stephen Tu
- Proceedings of the 3rd Conference on Learning for Dynamics and Control
- Pharmaceutical portfolio optimization under cost uncertainty via chance constrained-type method
- Maboubeh Farid, Abraar Chaudhry, Magnus Ytterstad, Stig Johan Wiklund
- Journal of Mathematics in Industry
Teaching
Georgia Tech
- Assistant Instructor for Introduction to Derivative Free Optimization
- Fall 2025
- instructor: Katya Scheinberg
Princeton University
- TA for Computing and Optimization
- Fall 2020, 2021, 2022, 2023
- instructor: Amir Ali Ahmadi
- TA for Convex and Conic Optimization
- Spring 2021, 2022, 2023
- instructor: Amir Ali Ahmadi
- Ta for Senior Independent Research Foundations
- Fall 2023, Spring 2024
- instructor: Daniel Rigobon