Computer Science @ Princeton
RESEARCH WORK & PROJECTS
01
Neural Rendering Researcher | Princeton CS Department
As part of my independent work, I am currently working under Prof. Felix Heide and Ilya Chugunov in the area of extreme neural rendering. My project involves novel view synthesis for dynamic scenes, specifically scenes that pertain to football players. I aim to be able to generate novel videos of a football player performing a variety of actions (running, catching, etc.) given a single short clip of them.
02
Deep Learning Intern | NASA
In the summer of 2021, I worked as a Deep Learning Intern in the Robust Software Engineering group at NASA. I worked under ACM Distinguished Scientist Corina Pasareanu, Dr. Divya Gopinath, and Dr. Youcheng Sun. During my internship, I became very familiar working with deep neural networks on a variety of platforms. Here is the paper that our group wrote that recently got accepted into the ISoLA conference and was published by Springer.
03
Astrophysics/CS Intern | UC Santa Cruz
In the summers of 2018 and 2019, I worked as a research intern under Ph.D. student Clayton Strawn and esteemed professor Joel Primack to study the circumgalactic medium of cosmological galaxy simulations. Here is the abstract of the work that my research partner Bryan Wang and I presented at the 233rd American Astronomical Society (AAS) meeting, and here is a separate paper led by Clayton and published by the Oxford University Press that includes some of my work.
Project | 01
Neural Network: Multi-Layer Perceptron
A multi-layer perceptron that is trained via a backpropagation algorithm. The perceptron can currently perform some simple procedures, such as determining how many fingers are being held up in a picture of a hand. This project began as part of one of my high school CS courses. I will be putting this project on my GitHub in the near future.
li $v0, 4
Project | 02
Compiler: Pascal to MIPS Assembly
A compiler written in Java code that can take code from a Pascal-like language as input and output the corresponding MIPS Assembly code. Like the neural network, this project initially began as part of a CS class I took in high school. I will be putting this project on my GitHub in the near future.