Summary
Liang Lyu is a PhD student and research assistant at MIT LIDS studying how algorithms shape human behavior and online platforms, advised by Asu Ozdaglar and Dan Huttenlocher. With eight years of research and teaching experience and a CS & Math BS from Duke (4.0 GPA), he blends theoretical tools from TCS, game theory, and operations research with empirical and experimental methods to study human-AI collaboration, platform dynamics, and algorithmic harms. His work spans developing behavioral models and calibrating them against real-world data to both explain and mitigate adverse outcomes of generative AI and platform design. Previously focused on algorithmic fairness, he brings deep data handling experience and a strong grounding in statistical and computational methods. An understated strength is his dual fluency in rigorous theory and hands-on experimentation, enabling research that is both principled and practically testable.
8 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Massachusetts Institute of Technology
Bachelor of Science - BS, Computer Science and Mathematics, 4.0/4.0, Bachelor of Science - BS, Computer Science and Mathematics, 4.0/4.0 at Duke University
High School Diploma; Hwa Chong Diploma with Distinction; GCE A-Level Certificate, High School Diploma; Hwa Chong Diploma with Distinction; GCE A-Level Certificate at Hwa Chong Institution
Chinese, English