Computing a Metric on the Shape Space of Tori
ACM Transactions on Graphics (SIGGRAPH Asia 2026)
A metric on the shape space of triangulated genus-one surfaces that do not need same mesh combinatorics.
PhD Candidate in Applied Math at UC Davis
My primary research interest are computational topology, geometry processing, and their applications in machine learning.
My current and previous mentors include Dr. Joel Hass, Dr. Dmitriy Morozov, Dr. Patrice Koehl, Dr. Arnur Nigmetov, Dr. Bradley J. Nelson and Dr. Li Cai.
I interned at Meta as a machine learning software engineer in summer 2025, at the International Computer Science Institute as a research intern in summers 2024 and 2026, and at Lawrence Berkeley National Laboratory as a research intern in summer 2023.
ACM Transactions on Graphics (SIGGRAPH Asia 2026)
A metric on the shape space of triangulated genus-one surfaces that do not need same mesh combinatorics.
C++ · Python
Geometry processing for mesh I/O, exact geodesics, homology generators, and fundamental domains, with reusable comparison primitives and Python bindings.
C++ · Python
Computing and visualizing persistent homology, including the update schemes used for iterated persistence computations.
PyTorch
Automatic differentiation of topological features and common topological loss functions for machine-learning pipelines.