Leonard J. Schulman received a BSc in mathematics in 1988 and a PhD in applied mathematics in 1992, both from the Massachusetts Institute of Technology. Since 2000, he has been on the faculty of the California Institute of Technology. He has also held appointments at UC Berkeley, the Weizmann Institute of Science, the Georgia Institute of Technology, and the Mathematical Sciences Research Institute. He has received the MIT Bucsela prize in mathematics, an NSF mathematical sciences postdoctoral fellowship, an NSF CAREER award, and the IEEE Schelkunoff prize. He is the director of the Caltech Center for the Mathematics of Information and is on the faculty of the Institute for Quantum Information and Matter. His research is in several overlapping areas: algorithms and communication protocols; combinatorics and probability; coding and information theory; and quantum computation.
- Causality, Spring 2022. Workshop Organizer.
- Causality, Spring 2022. Visiting Scientist and Program Organizer.
- Real-Time Decision Making, Spring 2018. Workshop Organizer.
- Information Theory, Spring 2015. Visiting Scientist.
- Algorithmic Spectral Graph Theory, Fall 2014. Visiting Scientist.
- Quantum Hamiltonian Complexity, Spring 2014. Visiting Scientist.
- Theoretical Foundations of Big Data Analysis, Fall 2013. Visiting Scientist.