Leonard J. Schulman
Professor of Computer Science; Graduate Option Representative for Computer Science
Research interests: algorithms, coding, communication, combinatorics, probability and quantum computation.
Overview
Professor Schulman's research ranges over algorithms, communication protocols, combinatorics, probability, game theory, coding theory, information theory, and quantum computation; current emphases include causal inference and non-reversible Markovian dynamics.
Related Courses
2023-24
CS/IDS 153 – Current Topics in Theoretical Computer Science
2022-23
CS/IDS 150 ab – Probability and Algorithms
2021-22
CS/IDS 150 ab – Probability and Algorithms
CS/IDS 153 – Current Topics in Theoretical Computer Science: Markov Chain Monte Carlo Algorithms
2020-21
CS/IDS 150 ab – Probability and Algorithms