I am currently a Ph.D. student in the Computer Science department at Yale University, advised by Prof. Smita Krishnaswamy.
My research interests include geometric, manifold learning, and deep learning. Specifically, I am interested in studying the characteristics that make expressive and generalizable embeddings and developing efficient and principled methods to achieve such representations. I am also interested in AI/ML for bioscience.
I graduated Magna Cum Laude from Northwestern University and obtained my master's degree from Princeton University. While at Princeton, I worked on computer perception and video recognition in Prof. Olga Russakovsky's lab.
Before Princeton, I worked as a software engineer at Meta for two years.
Xingzhi Sun *, Danqi Liao *, Kincaid MacDonald, Yanlei Zhang, Guillaume Huguet, Guy Wolf, Ian Adelstein,Tim G. J. Rudner, Smita Krishnaswamy
Danqi Liao
Master Thesis, 2022
Danqi Liao
My CUDA c implementation of forwad pass of regular Attention and FlashAttention.
Danqi Liao
P2P proxy network aims to protect user privacy and hide their online identity by forwarding their network requests randomly.
Danqi Liao
My implementation for Kademlia DHT, a distributed hash table for decentralized peer-to-peer computer networks.