Steven M. Heilman

Steven M. Heilman is an Assistant Professor at the University of Southern California, specializing in research at the intersection of Probability, Analysis, Geometry, and Theoretical Computer Science. His work bridges mathematical theory with applications in algorithmic hardness, social choice, and quantum computing.

• Affiliation: Department of Mathematics, University of Southern California
• Advisor: Professor Assaf Naor (Princeton University)

Research Trends:
From 2021–2025, Heilman's publications focus on noise stability of voting systems, geometric inequalities, Gaussian isoperimetric problems, and algorithmic challenges in quantum computing. Key themes include symmetric sets, tree structures, and applications of probability to computational complexity.

Advising & Grants:
He supervises high school and undergraduate research projects. In 2025, he received an NSF CCF Grant AF: Small ($200,000) for research on geometric inequalities, clustering hardness, and social choice theory.

Conferences:
He organized the HIM Conference on Information Theory, Boolean Functions, and Lattice Problems (2024) and the IPAM Conference on Calculus of Variations in Probability and Geometry (2022).