I am an incoming PhD student at the University of Michigan under Prof.Clayton Scott. My research interests lie in Differential Equations, Optimization ∩ Machine Learning. I completed my masters at the University of Waterloo in the Applied Math Department working under Prof. Kirsten Morris and Prof. David Del Rey Fernández. My master's thesis focused on deriving structure-preserving optimization algorithms for machine learning using ideas from differential equations and dynamical systems. I completed my undergraduate thesis under Prof. Bin Han at the University of Alberta in the field of Classical Fourier Analysis. I am an active member of the UWaterloo Tennis Club. I love Middle Eastern food and bubble tea. I am open to discussing any research enquiries and collaborations!
News.
- $\gamma$ June 2026. Attended the OIST-Oxford-SLMath Summer Graduate School on Analysis and Partial Differential Equations at OIST.
- $\gamma$ May 2026. I defended my master's thesis A Hamiltonian Systems Approach to Neural Network Optimization.
- $\gamma$ February 2026. My work on Structure-Preserving updates from Dissipative Hamiltonian Systems was accepted to MTNS 2026.
- $\gamma$ August 2025. I was be a mentor for the Women in Math Directed Reading Program covering topics in Modern Probability Theory. I will cover topics like concentration inequalities, VC-dimensions and random matrix theory.
- $\gamma$ August 2025. Attended a summer school on Fluids and Computer Assisted Proofs at Princeton University.
- $\gamma$ July 2025. Attended the CMMRS summer school.
- $\gamma$ July 2025. Attended and gave a talk on Learning Hamiltonian Systems (and formalizing?) at IBM Research + SLMath.
- $\gamma$ April 2025. Worked on a project on the UAT of Port-Hamiltonian Neural Networks.
- $\gamma$ February 2025. Working on a paper in numerical algorithms with Dr. Hassan Safouhi.
