Hi there š, Iām Xiaoyang Song. I am currently an Industrial and Operations Engineering Ph.D. student at University of Michigan, Department of Industrial and Operations Engineering. Before, I received my M.S. degree in Data Science from Columbia University and my B.S. degree with double majors in Mathematics and Computer Science from University of Michigan. During my previous studies, I received rigorous training in computer science, mathematics, and statistics, and was fortunate to work with many distinguished research faculties from the University of Michigan on Natural Language Processing (NLP), Computer Vision (CV), and Distributed Learning.
As a passionate researcher, my goal is to explore the cuttingāedge theories and methodologies in the fields of Machine Learning (ML), Reinforcement Learning (RL), and mathematics and apply them to Computer Vision (CV), Natural Language Processing (NLP), Transportation, Biology, Manufacturing, and other related fields in the industry. I am also deeply interested in Federated/Distributed Learning and OutāofāDistribution Learning, where we made ML models more applicable by protecting the privacy of ML target users and increasing the robustness of ML models, respectively. In general, I am dedicated to deploying Machine Learning techniques into real-world applications in a robust and interpretable manner, hopefully with theoretical guarantees.
My CV can be found here. (Last Update: 12/2022)
If you are interested in contacting me, I can always be reached by email at [email protected].
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