Santosh Vempala

Roles and Affiliations: Santosh Vempala is the Frederick G. Storey Chair in Computing and Professor in the School of Computer Science at Georgia Institute of Technology. He also holds courtesy appointments in Mathematics and Industrial and Systems Engineering. He directs the Algorithms, Combinatorics, and Optimization (ACO) PhD program and previously led the Algorithms & Randomness Center (ARC). His work bridges theoretical computer science, data science, and computational neuroscience.

Education: PhD in Computer Science from Carnegie Mellon University (1997), advised by Avrim Blum. Postdoctoral fellowship at UC Berkeley (Miller Fellow).

Research Interests: Focuses on algorithms, high-dimensional geometry, randomized methods, and applications to brain computation and societal challenges (e.g., Computing for Good). Recent work explores sampling/optimization limits and brain modeling via neural assemblies. His interdisciplinary approach merges theoretical rigor with practical impact in healthcare and technology.

Publications Trends: Recent work emphasizes algorithmic diffusion for sampling, neural computation models, and AI evaluation. Key themes include logconcave sampling, optimization complexity, and robust learning. Collaborations span computer science, mathematics, and neuroscience.

• Awards: Sloan, Guggenheim, ACM, and AMS Fellowships. Recognized for contributions to algorithms and computational theory.
• Advising & Grants: Advises PhD students and postdocs in optimization, machine learning, and neuroscience. Leads projects like C4G (Computing for Good), addressing global health and societal challenges.
• Labs & Teams: Founder of ARC and core member of ML@GT. Collaborates with interdisciplinary teams on projects like Brain Assembly Models and OMSCS (Online Master of Science in CS).