About Me

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Education

Stanford University

September 2019 - Present

MS, Mechanical Engineering
Advisor: Parviz Moin
Center for Turbulence Research (CTR), Flow Physics and Computational Engineering (FPCE)

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Princeton University

September 2015 - June 2019

BSE, Mechanical and Aerospace Engineering, Magna Cum Laude
Certificates: Applications of Computing, Robotics and Intelligent Systems
Advisor: Michael E. Mueller
Computational Turbulent Reacting Flow Laboratory (CTRFL)

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Teaching Experience

Stanford University

Fall 2021

Course Assistant
ME 300A/CME 200: Linear Algebra with Application to Engineering Computations
PI: Parviz Moin

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Princeton University

February 2018 - June 2019

Lab Teaching Assistant
COS 126: Intro to Computer Science
COS 226: Algorithms and Data Structures
COS 217: Systems Programming

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Course Projects

Analysis of flow in a heated annulus

Spring 2021

CFD simulations of a thermal convection loop across Rayleigh-number regimes
Final Project for ME 469: Computational Methods in Fluid Mechanics
(report)

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Neural network-based wall models for large-eddy simulation

Winter 2021

A wall-model for large-eddy simulation (LES) is developed using a dense neural network trained using filtered turbulent channel DNS data. This project was inspired by the work of Yang et al., Phys. Rev. Fluids, 2019.
Final Project for ME 343: Machine Learning for Mechanical Engineering
(report, code listing)

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Parallel scalable compressible jet code in python

Summer 2020

A compressible jet code written using python (numba, numpy, mpi4py) is used to simulate the dispersion of a passively-transported contaminant. The code is parallel and shown to be scalable.
Final Project for ME 344: High Performance Computing
(report, code)