Biography

John Lazarsfeld received his PhD in computer science from Yale in 2024. He joined SUTD in September 2024, where he is a Postdoctoral Research Fellow with the ESD Pillar working with Georgios Piliouras and Antonios Varvitsiotis. His research interests are broadly in theoretical machine learning and computer science, including online learning, game theory, and optimisation. Personal website: jlazarsfeld.github.io

Education

• PhD, Yale, 2024
• BA, Yale, 2017

Research Interest

• Online learning, game theory, and optimization.
• Multi-agent computation, opinion dynamics, and distributed algorithms.
• Differentially private statistics and learning

Selected Publications

• J. Lazarsfeld and D. Alistarh. “Simple Opinion Dynamics for No-Regret Learning,” 2024.
• D. Alistarh, K. Chatterjee, M. Karrabi, J. Lazarsfeld. “Game Dynamics and Equilibrium Computation in the Population Protocol Model,” PODC 2024.
• J. Lazarsfeld, A. Johnson, E. Adeniran. Differentially Private Maximal Information Coefficients,” ICML 2022.