Analyzing 18th-20th Century Art and Music with Contrastive Cross-Modal Learning
I am currently a first year PhD student in Computer Science at Princeton University, where I am advised by Professor Szymon Rusinkiewicz!
I received my BA (‘19) in CS and MS (‘20) in EECS at UC Berkeley. At Berkeley, I was advised by Professor Ren Ng. I was also extremely fortunate to be mentored by Cecilia Zhang and Shiry Ginosar at BAIR.
My research interests are in computer graphics, computer vision, and machine learning; I’m particularly interested in problems related to the digital humanities, computational photography, and human perception. I’m also especially excited by preserving, studying, and visualizing cultural heritage.
Aside from these, I’m passionate about STEM education and mental health advocacy! In my free time, I like baking and learning to paint. I’m one of those people who can’t survive without coffee (preferred method: pour over), I like video games but I’m not very good at them(currently playing: Teamfight Tactics), and I think corgis are so cute they make me want to cry.
CS 182: Deep Learning
CS 194-26: Computational Photography
CS 294-164: Computational Color
|CS 184 (Berkeley)||Computer Graphics and Image Processing (Co-Instructor)||Summer 2020 (first summer offering!)|
|CS 184 (Berkeley)||Computer Graphics and Image Processing (GSI)||Spring 2020|
|CS 184 (Berkeley)||Computer Graphics and Image Processing (Head uGSI)||Spring 2019|
|CS 168 (Berkeley)||Networking and Internet Architecture (uGSI)||Fall 2018|
|CS 184 (Berkeley)||Computer Graphics and Image Processing (uGSI)||Spring 2018|
|NVIDIA||Graphics and Content Developer Engineer Intern
Tone mapping in RTX, render data collection pipeline, CUDA-Vulkan interop
|May - Aug 2019|
|NVIDIA||Software Tools for Hardware Infrastructure Intern
Building tools for debugging hardware performance, profiling graphics pipelines
|May - Aug 2018|