I'm an Applied Scientist at Amazon Science , Palo Alto, CA, US. My primary research interest is in LLM, deep generative model, and AI for Science.

Email: haotiant@cs.cmu.edu havens.teng@gmail.com

Biography

I'm interested in machine learning that lies at the intersection of both theory and application. Machine learning methods has been successfully applied to many areas, like speech recognition, image classification, object detection, however, the use of modern machine learning method (including deeplearning) in solving science question has not been fully addressed, and has emerged rapidly and showed a competivie performance. My projects(ongoing and past): BoostNano , Chiron, PHANTOM Toolbox.

I had a Ph.D. from Carnegie Mellon University, supervised by Ziv Bar-Joseph and Carl Kingsford.

I graduated from Peking University majored in Physics, and followed by a 2 year Master in University of Queensland, Australia, under the supervision of Lachlan Coin and Geoffrey Goodhill.

I like music, both classical and popular music, I am an exprienced paino player, learned since 6 years old, and also can play a bit of Alto Saxophone. I like sport and e-sport as well.