Research Portfolio

Research Interests

My research spans a broad range of topics in computational astrophysics. They can roughly be grouped into:

• Realize the complex interplay of physics in stars with high-fidelity numerical simulations;
• Enhance the performance and scalability of fluid and path-traced radiation simulations on CPU+GPU platforms;
• Test and develop deep learning techniques for streamlining our simulation and analysis workflows.

In the following, you will find links to a few of my recent/ongoing projects. For past projects, feel free to find my full publication list at Google Scholar, NASA ADS, or ORCID.

Recent/Ongoing Projects

An End-to-end Software Pipeline to Simulate Exploding Stars

Simulating Powerful Outbursts from Red Supergiant Stars

Exploring Neural Rendering of Astrophysical Simulation Data

A Machine-Learned Radiation Transport Solver