Summary
Subho Majumdar is an assistant professor of Decision Sciences at IIM Bangalore and a practitioner-turned-researcher with over a decade of experience in trustworthy AI, machine learning, and statistics. He has led responsible AI initiatives across industry—founding the AI Vulnerability Database (AVID) to create MITRE ATT&CK/NIST-style standards for AI risks—and has driven product and revenue outcomes as Co-founder and Head of AI at Vijil. His career spans technical leadership roles at Twitch, Splunk, AT&T and GEICO, where he built fairness monitoring frameworks, productionized ML for security, and executed large-scale data audits uncovering bias in recommender systems. With a PhD in statistics, 50+ publications and 20+ filed patents, he blends rigorous academic methods with pragmatic engineering to make AI systems auditable and safe. Beyond research and startups, he influences policy and nonprofit ecosystems through founding initiatives like TrustML and ARVA, showing a rare mix of scholarly depth and impact-driven applied work. An interesting throughline: he repeatedly turns domain-specific insights (security, recommender systems, omics) into reusable platforms and standards that scale across organizations.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Statistics, Doctor of Philosophy (Ph.D.) Statistics at University of Minnesota
MStat Statistics, MStat Statistics at Indian Statistical Institute, Kolkata
English