I am a PhD student at
The Johns Hopkins University in the department of Applied Math and Statistics. My work primarily focuses in optimization, under the supervision of
Benjamin Grimmer. In particular, I work on expanding classical theory to apply universally to Lipschitz functions, functions with Lipschitz gradients, and everywhere in between (characterized by Holder continuous gradient). In a dual notion, my work also focuses on functions that are convex, strongly convex, and anywhere in between (characterized by uniform convexity).
My presentation at ICCOPT 2025 will discuss the previous year's work over universal methods for minimizing compositions with heterogeneous smooth and convex components. I am excited to share the motivations, insights, and results with the optimization community!
