My work involves engaging with a broad range of stakeholders. Below are tailored biographies for some key audiences, including academic researchers, healthcare professionals, and policymakers.

Academic Bio (Short)

Sanmi Koyejo is an Assistant Professor in the Department of Computer Science at Stanford University, where he leads the Stanford Trustworthy AI Research (STAIR) lab developing measurement-theoretic foundations for trustworthy AI. He has received the Presidential Early Career Award for Scientists and Engineers (PECASE) and multiple outstanding paper awards at venues including NeurIPS and ACL.

Academic Bio (Long)

Sanmi (Oluwasanmi) Koyejo is an Assistant Professor in the Department of Computer Science at Stanford University and an adjunct Associate Professor at the University of Illinois at Urbana-Champaign. He leads the Stanford Trustworthy AI Research (STAIR) lab, which develops measurement-theoretic foundations for trustworthy AI systems, spanning AI evaluation science, algorithmic accountability, and privacy-preserving machine learning, with applications to healthcare and scientific discovery. His research on AI capabilities evaluation has challenged conventional understanding in the field, including work on measurement frameworks cited in the 2024 Economic Report of the President.

Koyejo has received the Presidential Early Career Award for Scientists and Engineers (PECASE), Skip Ellis Early Career Award, Alfred P. Sloan Research Fellowship, NSF CAREER Award, and multiple outstanding paper awards at flagship venues, including NeurIPS and ACL. He has delivered keynote presentations at major conferences, including ECCV and FAccT. He serves in key leadership roles, including Board President of Black in AI, Board of Directors of the Neural Information Processing Systems Foundation, and other leadership positions in professional organizations advancing AI research and broadening participation in the field.

Policy/Civil Society Bio

Sanmi Koyejo is an Assistant Professor in the Department of Computer Science at Stanford University, where he leads research on trustworthy AI systems and their societal impacts. His work focuses on ensuring AI technologies are reliable, safe, and beneficial across different communities and contexts, including research on AI evaluation frameworks, algorithmic accountability, and global AI accessibility.

Koyejo has directly contributed to AI policy development through Congressional briefings and co-authoring policy recommendations for responsible AI deployment. His research spans multiple continents to ensure AI benefits reach global populations and serves on technical advisory panels addressing AI's broader societal implications. As a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), he bridges cutting-edge research with practical policy needs, helping ensure AI development serves the public interest.

Healthcare Bio

Sanmi Koyejo is a Stanford University computer science assistant professor whose research ensures healthcare AI works reliably across patient populations. His work addresses practical challenges from ensuring medical imaging tools perform consistently across diverse patient groups to developing privacy-compliant AI systems. Koyejo has received the Presidential Early Career Award for Scientists and Engineers and serves on the Board of Directors of the Association for Health, Learning, and Inference (AHLI).

Industry Bio

Sanmi Koyejo is co-founder of Virtue AI, which develops enterprise solutions for AI safety and security, and an Assistant Professor at Stanford University. His research on AI evaluation, adversarial robustness, and safety assessment has been implemented in production systems at major technology companies, including Google DeepMind, where he served as a research scientist.

His work has demonstrated measurable improvements in AI system reliability across healthcare and other critical applications. Koyejo has received research funding and recognition from Google, Microsoft, and OpenAI, and has received the Presidential Early Career Award for Scientists and Engineers (PECASE). He serves on the Board of Directors of the Neural Information Processing Systems Foundation.

Mentorship/Student-Focused Bio

Sanmi Koyejo is an Assistant Professor at Stanford University passionate about developing the next generation of AI researchers and leaders. He leads the Stanford Trustworthy AI Research (STAIR) lab, where he mentors students and postdocs working on ensuring AI technologies work reliably and safely for all communities.

Throughout his career, Koyejo has supervised over 50 students across PhD, MS, and undergraduate levels, many advancing to faculty positions, leading industry roles, and impactful research careers. His mentorship extends globally through training students across multiple continents and leadership in programs supporting students from different backgrounds. As a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE), NSF CAREER Award, and Sloan Fellowship, he combines cutting-edge research with a deep commitment to student development. Koyejo serves as the Board president of Black in AI.

Media/Press Bio

Sanmi Koyejo is a Stanford University computer science professor whose research addresses how to ensure artificial intelligence systems work reliably and safely for everyone. His work has influenced the White House's 2024 Economic Report and changed how experts think about AI progress. As a recipient of the Presidential Early Career Award for Scientists and Engineers, Koyejo advocates for responsible AI development. He has briefed Congressional leaders on AI policy and co-founded Virtue AI to help companies deploy safer and more secure AI systems. His research has been implemented in healthcare systems, demonstrating measurable improvements in diagnostic reliability.

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