I am a researcher passionate about applying machine learning to advance cancer research and improve patient outcomes. Currently pursuing my MSc in Artificial Intelligence at City, University of London, I work as a Research Associate at UCL Cancer Institute, where I develop ML models for cancer evolution and treatment resistance prediction. My research interests span reinforcement learning for oncology, distributed machine learning systems, and biomedical AI applications. Previously, I was a researcher at Twitter, where I worked on large-scale distributed training systems and recommendation models serving hundreds of millions of users.
Specializations
- Reinforcement Learning
- Biomedical ML
- Distributed Systems
- Computer Vision
Honors & Professional Memberships
- Women in Machine Learning Member (2024 – Present)
- Black in AI – Emerging Leaders in AI (2024 – Present)
- Institution of Engineering and Technology, Associate Member (2024 – Present)
- BRAID Anita Borg Scholar (2017 – Present)
- Women of Color Grace Hopper Scholar (2017 – Present)