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Postdoctoral Fellow

Department of Combinatorics and Optimization, University of Waterloo

Advised by Professors Henry Wolkowicz (24-26), Saeed Ghadimi (24-26), Walaa Moursi (24-26), and Stephen Vavasis (24-25)

PhD in Operations Research (GPA 3.92/4.0)

Georgia Institute of Technology

Fast First-Order Methods for Large-Scale Nonconvex Optimization and Semidefinite Programming

• Advised by Renato D.C. Monteiro.
• Committee Members: Arkadi Nemirovski, Alexander Shapiro, Diego Cifuentes, Samuel Burer (External).

M.S. in Mathematics (GPA 4.0/4.0)

Georgia Institute of Technology

B.S. in Applied and Computational Mathematics (GPA 3.93/4.0)

University of Southern California

New Insights and Algorithms for Optimal Diagonal Preconditioning.

Available on arXiv. Submitted to SIAM Journal on Matrix Analysis

Asymptotically Fair and Truthful Allocation of Public Goods

Available on arXiv. Accepted in Journal of Artificial Intelligence Research

Efficient Parameter-Free Restarted Accelerated Gradient Methods for Convex and Strongly Convex Optimization

Journal of Optimization Theory and Applications

cuHALLaR: A GPU Accelerated Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming

Available on arXiv. To be submitted to Mathematical Programming Computation

A Low-Rank Augmented Lagrangian Method for Large-Scale Semidefinite Programming Based on a Hybrid Convex-Nonconvex Approach

Available on arXiv. Major Revision in Mathematical Programming

An Adaptive Superfast Inexact Proximal Augmented Lagrangian Method for Smooth Nonconvex Composite Optimization Problems

Journal of Scientific Computing