I am a graduate computer science student at Harvard University, currently in my first year. My research interests lie in the area of computer vision and machine learning, more specifically, neural scene representations, 3D reconstruction and differentiable rendering.
You can check out my CV here.
Worked with professor Florian Shkurti on imitating a game engine using a differentiable neural network renderer to help train an autonomous driving policy.
Working with professor Nandita Vijaykumar on accelerating coordinate-based multilayer perceptron (MLP) networks.
Accepted at The International Conference on Learning Representations (ICLR) 2022
GPA: 3.99/4.00
A C++ implementation of the paper Position Based Fluids
Tools/Frameworks used: libigl, Eigen
Apart from computer science, I enjoy listening to various kind of musics, such as: Fear Inoculum by TOOL
I'm also quite addicted to video games, especially RPGs and well-written story-based games, recently a few of my favourites are Divinity: Original Sin I&II, Pathfinder series.