Suresh Venkatasubramanian

Suresh Venkatasubramanian is a Professor at Brown University, previously at the University of Utah's School of Computing. His research focuses on algorithmic fairness, automated decision systems, computational geometry, and the societal impacts of AI. He co-founded the FAT* conference and sits on the ACLU of Utah board. He holds a B.Tech from IIT Kanpur and a Ph.D. from Stanford University.

• Education: B.Tech (Computer Science, IIT Kanpur), Ph.D. (Stanford University).
• Key Roles: Member of Computing Community Consortium Council, Research Advisory Council for NYC's FTA Tool, and First Judicial District of Pennsylvania.

Research interests emphasize fairness, accountability, and transparency in algorithms. Notable contributions include work on predictive policing biases, Shapley-value critiques, and information access gaps. Awards include an NSF CAREER Award and an ICDE Test-of-Time Award.

• Grants: Mozilla Foundation, NSF BIGDATA, DARPA A4V.
• Teaching: Advanced Algorithms, Ethics of Data Science, and courses on algorithmic fairness.

Service roles include organizing conferences like FAT* and ALENEX, and advising on algorithmic governance in criminal justice systems.