Talks and presentations

Physics-constrained Machine Learning for PDEs

April 22, 2025

Talk, Computational Math in Industry and Beyond Seminar Series (CME 500), Stanford, CA

I will be giving an invited talk at the Computational Math in Industry and Beyond Seminar Series (CME 500) at the Institute for Computational and Mathematical Engineering (ICME) at Stanford University.

ICME’s 20th Anniversary Celebration Event

November 22, 2024

Talk, Institute of Computational and Mathematical Engineering (ICME), Stanford University

In this panel, I discussed my PhD experiences at ICME and how that prepared me for a research career in industry. See the recording here and news article here.

UC Berkeley Math Career Panel

November 07, 2024

Talk, UC Berkeley Mathematics Department, University of California, Berkeley

In this panel, I discussed my journey and career in mathematics after graduating from UC Berkeley with my bachelors in Applied Mathematics and then my PhD in Computational and Mathematical Engineering from Stanford University. I advised aspiring young mathematics students on the vast career opportunities with a mathematics degree.

Physics-constrained Machine Learning for Scientific Computing

March 14, 2024

Talk, CS294 Graduate Course on Physics Inspired Deep Learning, University of California, Berkeley

I gave a guest lecture in Professor Krishnapriyan’s advanced Computer Science 294 graduate course on Physics Inspired Deep Learning at the University of California, Berkeley.

ICME Xpo Research Symposium

May 20, 2016

Talk, Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA

I presented posters on my research at the ICME Xpo Research Symposium from 2015-2018 on the following topics: