Hello, I'm Victor.
CS Ph.D. Candidate at Brown University
I work on algorithmic accountability, AI auditing, and evaluation infrastructure for large language models and autonomous agentic systems. My goal is to build rigorous, context-aware evaluation methods that make model behavior measurable, comparable, and auditable in real-world use.
Affiliated with the Center for Tech Responsibility (CNTR) and Data Science Institute (DSI), advised by Prof. Suresh Venkatasubramanian. I am also a member of the RISE Lab, working with Prof. C. Malik Boykin.
Previously, I was a Data Scientist at SeqHub Analytics and a research assistant with The Mozilla OAT Project. I obtained my undergraduate degree in Computer Science from the University of Ibadan.
Beyond research, I love traveling, and I make videos on YouTube.
News & Updates
- August 2026 Our Public AI Observatory is now live! Check out the media coverage in The Washington Post and MIT Technology Review.
- July 2026 We have two papers accepted to AIES 2026: MonitrLLM: A Community-Centered Evaluation Infrastructure for Large Language Models and Designing for Doubt: The Case for Informed Abstention in Autonomous Agents.
- May 2026 Our paper "What Benchmarks Don't Measure: The Case for Evaluating Abstention Competence in Autonomous Agents" won the Best Paper Award at the RLEval Workshop at ACM CAIS.
- April 2026 Multi-lingual Functional Evaluation for Large Language Models accepted to ACL Findings. See you in San Diego!
- April 2026 More Is Not Better: Visual Uncertainty Cues and the Fragility of Trust Calibration in LLM-Assisted Decision Making accepted to Computers in Human Behavior: Artificial Humans Journal.
- Dec 2025 Beyond Static Leaderboards: A Roadmap to Naturalistic, Functional Evaluation of LLMs accepted to the Second Workshop on Language Models for Underserved Communities (LM4UC) at AAAI 2026.
- Sep 2025 "Testing LLMs in a sandbox isn't responsible. Focusing on community uses and needs is." accpeted as an opinion abstract at the Workshop on Socially Responsible Language Modelling Research at COLM 2025.
- July 2025 Excited to be one of the keynote speakers at the inaugural Technical AI Governance Workshop at ICML.
- May 2025 Serving as one of the Social Chairs for FAccT 2025.
- April 2025 I am giving an invited talk at the Ohio Data Ethics Working Group on the landscape of AI Audit Tools.
- Jan 2025 Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling is accepted to CHI'25. See you in Japan!
- April 2024 We got a Distinguished Paper Award at the 2nd IEEE Conference on Secure and Trustworthy Machine Learning for our paper on the AI Auditing landscape.
- March 2024 I will be presenting our paper "Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling" at the NorthEast HCI meeting.
- Dec 2023 Our Paper "SoK: AI Auditing: The Broken Bus on the Road to AI Accountability" has been accepted to the 2nd IEEE Conference on Secure and Trustworthy Machine Learning! Camera-ready and more details on the way.
- Oct 2023 I gave a talk at the inaugural research mentorship series of the Society of Petroleum Engineers, University of Ibadan Chapter. See Slides here.
- Mar 2023 I co-facilitated a panel session on Navigating the Open-Source Algorithm Audit tooling landscape with Abeba Birhane at Mozfest, 2023.
- Mar 2023 I officially accepted Brown's PhD offer to start in the fall.