Summary
Tianyi Lin is an assistant professor in Columbia University’s Department of Industrial Engineering and Operations Research, based in New York. His research spans optimization, game theory, machine learning, and social networks, reflecting a strong interdisciplinary focus. He holds an MPhil in Mathematics and Statistics from Cambridge and both an MS in Operations Research and a PhD in Computer Science from UC Berkeley, along with a BS in Mathematics from Nanjing University. Prior to Columbia, he completed a postdoctoral stint at MIT and conducted research roles in Shanghai and Hong Kong. With eight years of experience, he translates rigorous theory into practical, data-driven methods for complex systems.
8 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Operations Research, Master of Science - MS, Operations Research at University of California, Berkeley
Master of Philosophy - MPhil, Mathematics and Statistics, Master of Philosophy - MPhil, Mathematics and Statistics at University of Cambridge
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Nanjing University