03/11/2026
Proud moment for the RAML Lab at Brock University 🎉
Congratulations to our MSc student, Victoria Udechukwu, on receiving the 2025–26 Horizon Graduate Student Scholarship. Victoria’s research focuses on detecting and mitigating bias in AI systems, helping ensure that machine learning models are fair and responsible. Her work aims to develop mathematical tools to assess fairness in AI, particularly when training data lacks labels. Beyond her research, Victoria is also passionate about supporting greater representation of women in technology. Well deserved recognition! 👏Read more in Brock News:
[https://brocku.ca/brock-news/2026/03/horizon-scholar-tackles-technology-biases/?utm_medium=email&utm_campaign=Daily%20The%20Brock%20News&utm_content=Daily%20The%20Brock%20News+CID_b63165a3a4673cdc159ea978aca34722&utm_source=Campaign%20Monitor%20MARCOM&utm_term=Horizon%20Scholar%20tackles%20technology%20biases]
Thanks to our director, Dr. Blessing Ogbuokiri for the guidance, and the members Hridoy Rahman, David Martin, Rimon Paul, Loic Wedji, Ray Huang, Rishi Modi, and David Shodipo for your support.
Horizon Scholar tackles technology biases
NOTE: This is one in a series of articles on Brock’s 2025-26 Horizon Graduate Student Scholarship recipients. Read other stories in the series on The Brock News. Victoria Udechukwu was often the only woman in the room while working ...
01/29/2026
🎉 RAML Lab Congrats! 🎉
We’re excited to announce that David Martin’s paper, “Reducing Representation Bias through Fairness-Driven Sampling in Contrastive Learning,” has been accepted at the Canadian AI Conference 2026 (Round 1)!
This work tackles a key challenge in contrastive learning: how standard random sampling can amplify representation bias, causing overrepresented groups to dominate training while underrepresented groups receive limited exposure. The paper introduces a fairness-driven sampling strategy that uses latent similarity structure to guide contrastive pair selection without relying on demographic labels. The proposed method improves representation of underrepresented latent subgroups while maintaining competitive model accuracy, with promising implications for fairer downstream applications such as facial recognition, clinical diagnostics, and language models.
Excellent work and a strong contribution to fair and responsible self-supervised learning. Congratulations to David Martin and the entire RAML LAB team! Special thanks to our director, Dr. Blessing Ogbuokiri, for the guidance and leadership.👏
12/06/2025
🌟 Congratulations to Victoria Udechukwu! 🌟
The RAML Lab celebrates our MSc student, Victoria Udechukwu, on receiving the 2025–26 Brock University Horizon Graduate Student Scholarship! 🎉
đź”— https://brocku.ca/brock-news/2025/12/horizon-scholarship-recipients-set-to-break-barriers-through-research/
This award recognises emerging scholars whose research has the potential to make a significant impact and break new ground. Victoria embodies this vision through her commitment to advancing responsible and interpretable AI while contributing to the broader mission of the RAML Lab.
Her dedication, curiosity, and resilience continue to inspire our team, and we are excited to see how her work will shape the future of ethical and transparent AI systems.
Please join us in congratulating Victoria on this well-deserved achievement! 👏🎓
Horizon scholarship recipients set to break barriers through research
NOTE: This is one in a series of articles on Brock’s 2025-26 Horizon Graduate Student Scholarship recipients. Read other stories in the series on The Brock News. One week before classes began, Mary Quansah was preparing for the possibility ...
11/21/2025
Congratulations!! To our Director, Dr. Ogbuokiri, on receiving the CIFAR Solution Network grant. Along with his team, he will lead a pioneering initiative on mitigating bias in LLM, focusing on Nigerian Pidgin English, a language spoken by over 140 million people, primarily in West Africa.
This milestone highlights our lab’s commitment to building inclusive, responsible, and culturally grounded AI solutions for the Global South and beyond.
We are proud and inspired. Congratulations once again, Dr. Ogbuokiri!
hashtag