Introduction

My research mainly involves scientific computing, especially computational fluid dynamics (CFD). That is, I use high-performance computing (HPC) tools to simulate and understand the physics of complex, turbulent flows. My research has a wide range of impacts, in aerospace as well as naval applications. I am currently expanding my interests to machine-learning (ML) applications for HPC and scientific simulations.

At Stanford, I work with Prof. Ali Mani to develop new tools for analyzing/understanding complex flow systems and improving models for more effective simulations.

I also work with Prof. Adrian Lozano Duran at MIT, analyzing the underlying structures and energy cascades in turbulent flows using novel data analysis algorithms.

For my undergrad, I got a B.S.E. in Naval and Ocean Engineering. I worked with Prof. Shin Hyung Rhee on multi-phase flows and CFD, particularly for naval applications.

See below for some of my (beautiful) simulation images. These involve over 70TB of CFD data, simulated using over 13,000,000 CPU hours.

  • Separated wall-bounded turbulent flow with spanwise sweep:

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  • Separated wall-bounded turbulent flow:

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  • Turbulent channel flow:

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  • Cascade of homogenous turbulence:

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  • Turbulent boundary layer flow:

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