Spring semester is officially a wrap, and on May 6 and 7, members of the Graduating Class of Spring 2022 will take part in commencement ceremonies. Congratulations to all the graduates who are being conferred degrees and a special congratulations to the Machine Learning PhD graduates. You will break new ground in the field as you start your careers. You’ve been prepared well and we wish you the best of luck. Please stay connected with the Machine Learning Center and visit us when you’re back in the area.
Meet our three new alumni below and see where they are headed next.
Xinshi Chen
I am a PhD Graduation Candidate in Machine Learning at Georgia Tech, advised by Prof. Le Song. I am currently pursuing a job in the tech sector in China.
I am broadly interested in principled machine learning. My current research focuses on learning based algorithm design (more theory-oriented), deep learning on structured data (more application-oriented), and their intersections. Besides, I am interested in applications in the area of structural and computational biology. My research is generously supported by Google PhD Fellowship in Machine Learning.
I received my B.S. and M.Phil in Mathematics at the Chinese University of Hong Kong under the supervision of Prof. Eric Chung. I have also spent time at Oak Ridge National Laboratory, Ant Financial, Facebook AI, and MBZUAI as a Research Intern or Research Assistant.
Zaiwei Chen
I will be joining the CMS Department of California Institute of Technology in summer 2022 under the CMI postdoctoral fellowship, working with Prof. Adam Wierman and Prof. Eric Mazumdar. I obtained a Ph.D. degree in Machine Learning – ISyE, an M.S. degree in Mathematics, and an M.S. degree in Operations Research from Georgia Institute of Technology, advised by Professor Siva Theja Maguluri and Professor John-Paul Clarke. Before that, I obtained my B.Eng. degree in Electrical Engineering at Zhejiang University, Chu Kochen Honors College.
SNAPP Seminar: I currently serve as the webmaster for the Stochastic Networks, Applied Probability, and Performance (SNAPP) seminar. The seminar series is broadly focused on theoretical topics spanning the areas of applied probability. Please visit our website for more details.
Shixiang (Woody) Zhu
I will join Heinz College, Carnegie Mellon University as an Assistant Professor starting August 2022. I obtained my Ph.D. in Machine Learning at H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology. I am advised by Yao Xie, Associate Professor in ISyE.
My research lies in the broad area of machine learning, data science, and optimization, with a particular interest in developing models for spatio-temporal data and dynamic networks and decision making under uncertainty. Much of my work aims to develop new methodologies for Social Good and address high-impact problems in a wide array of applications.
