Scholar
Victor Ojewale
Google Scholar ID: NMnrvgoAAAAJ
Brown University
Citations & Impact
Citations
135
H-index
2
i10-index
2
Publications
3
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Paper 'SoK: AI Auditing: The Broken Bus on the Road to AI Accountability' accepted at the 2nd IEEE Conference on Secure and Trustworthy Machine Learning and received a Distinguished Paper Award; Invited speaker at several conferences including the ICML Technical AI Governance Workshop, FAccT 2025, Ohio Data Ethics Working Group; Paper 'Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling' accepted at CHI'25.
Research Experience
- Data Scientist at SeqHub Analytics LLC; Research Assistant with The Mozilla OAT Project; Member of the RISE Lab at Brown University.
Education
- PhD candidate in Computer Science at Brown University; Bachelor's in Computer Science from the University of Ibadan.
Background
- Research interests: perceptions of algorithmic systems, AI audits, and sociotechnical evaluation of Large Language Models (LLMs). Advisors: Prof. Suresh Venkatasubramanian and Prof. Malik Boykin.
Miscellany
- In his free time, he enjoys vlogging, playing video games, watching anime, and dabbles in music.
Co-authors