News!

I'm on the 2026–27 Job Market! 

I will present Parameter-Free Schemes for Smooth Stochastic Optimization: Adaptation and Acceleration at the 2026 INFORMS Annual Meeting Job Market Showcase. 

About

I am a Postdoctoral Research Fellow in Industrial and Operations Engineering at the University of Michigan, working with Prof. Uday V. Shanbhag. I received my Ph.D. in Industrial and Systems Engineering from Lehigh University in January 2025 under the supervision of Prof. Frank E. Curtis. I hold an M.S. with Distinction in Financial Operational Research from the University of Edinburgh and a B.Econ. from the University of International Business and Economics.

My research develops and analyzes scalable and adaptive algorithms for nonlinear optimization under uncertainty. I work on parameter-free stochastic methods, inexact second-order methods, and algorithms for nonlinear constrained optimization, with applications in machine learning and scientific computing. 

I was a Givens Associate at Argonne National Laboratory in summer 2024. At Lehigh University, I served as president of the INFORMS Student Chapter in 2022 and received the 2024 ISE Ph.D. Student of the Year Award. Before pursuing my Ph.D., I worked in industry for three years.