Anissa Alloula
Hi, I’m Anissa, a 3rd year PhD student in Machine Learning at the University of Oxford!
I’m broadly interested in how ML models need to be adapted because of the non-i.i.d. nature of real-world data. So far, I have explored how model performance disparaties emerge, and if and when bias mitigation methods can be used to tackle them. Beyond fairness, I am interested in responsible AI-related questions like generalisation and uncertainty, as well as more fundamental topics like data-centric ML and scaling. This winter/spring, I am interning at Cohere, doing AI safety research. Previously, I completed my BSc at Imperial College London.
Outside of research, I spend a lot of (too much?) time exercising, particularly running, triathlon training, and playing tennis.
I’m always happy to connect and discuss my/your research so please reach out if any of the above sounds interesting!
Selected Publications
- Under Review
- ICMLSubgroups Matter for Robust Bias MitigationIn International Conference on Machine Learning, (ICML), Jul 2025
- MICCAI