Welcome, and thank you for your visit.
( I have gained quite some weight since this photo. So, on diet now… )
I am a doctoral student at Duke University, advised by Prof. Vahid Tarokh. My research interest is mainly about machine learning, and, with that interest, I have led and participated in research projects of various topics including deep learning, representation learning, meta-learning, reinforcement learning, etc. Please see here for the list of publications.
Before Duke University, I studied Computer Science and Mathematics at the University of California - San Diego (UCSD). Previous to that, I was born and raised in Shanghai, China. It is a beautiful city (you can have a brief look through the first two images at the bottom of this page), full of energy and nice people.
Education
Duke University, Durham, NC.
Ph.D. in Machine Learning ongoing
Duke University, Durham, NC.
M.S. in Computer Science 2021
University of California - San Diego, La Jolla, CA.
B.S. in Mathematics and Computer Science. 2019
Research Experience
(Please refer to C.V. for details)
Electrical & Computer Engineering (ECE) Department@Duke University Research Assistant 2020-present
Supervisor(s): Prof. Jordan Malof, Prof. Willie Padilla and Prof. Vahid Tarokh
Polarization Lab@Duke University
Research Assistant 2020-2021
Supervisor(s): Prof. Christopher Bail and Prof. Alexander Volfovsky
Math Department@UCSD
Independent Study 2019
Supervisor(s): Prof. David Meyer
Teaching Experience
Computer Science Department@Duke University
1. Teaching assistant (TA) for advanced algorithm (Fall 2020)
2. Teaching assistant (TA) for graduate-level Artificial Intelligence (AI) (Fall 2021)
Math Department@UCSD
1. Teaching assistant (TA) for abstract algebra (Spring 2019)
Internship
(Please refer to C.V. for details)
Data Group@UnionPay Smart, Shanghai
Data Mining Engineer 2019
Algorithm Group@PingAn Security, Shanghai
Software Development Engineer 2017
Shanghai in the morning
Shanghai at night
San Diego, CA
Duke University, Durham, NC