Hello!

I’m a Ph.D. Candidate at the University of Texas at Austin, where I’m advised by Prof. Robert Moser. I work at the intersection of Fluid Turbulence and Machine Learning. I was previously a student researcher at Google where I worked on physics-based deep learning approaches for improving weather predictions. Before that, I was a Machine Learning predoc at Argonne National Laboratory where I worked on developing uncertainty quantification methods for deep nerual networks with a focus on physics predictions.

News

[Aug 2025] I defended my thesis proposal and passed my Ph.D. Candidacy!

[Nov 2024] Talk at Oden Student forum.

[Nov 2024] Talk at APS-DFD 2024. Abstract. Salt Lake City, UT.

[Nov 2023] Talk at APS-DFD 2023. Abstract. Washington, D.C.

[Jun 2023] I joined Google as a Student Researcher!

[Aug 2022] I joined UT Austin to begin my PhD in ME 🥳🥳

Research papers:

For a complete list, see Google Scholar or ResearchGate.

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