About me
I am a second year PhD student working on Algorithmic Fairness in Medical Imaging at Section for Visual Computing (VisComp), Technical University of Denmark (DTU), advised by Aasa Feragen and Siavash Bigdeli.
My research topics include bias assessment and reasoning, counterfactual generation, shortcut learning detection, and bias mitigation. I aim to build fair, transparent, trustworthy, and responsible AI tools.
News
- Mar, 2025. I started my external research stay at the University of Luzern! I will be supervised by Christian F. Baumgartner and work with his team. This is my second time living in Switzerland—what a destiny! :)
- Oct, 2024. Manxi and I presented our paper Shortcut Learning in Medical Image Segmentation at MICCAI 2024 in Morocco. Together with Aasa, Tareen and many others, we also successfully organized the FAIMI workshop (again;) there.
This is the first time MICCAI was held in Africa – a milestone worth celebrating. Yet, knowing that only 40 out of 2,869 papers were submitted by Africa-based institutes was a stark reminder of the deep global disparities in research participation. Progress toward true inclusivity in science is still a long, long journey to go.. - Sep, 2024. Our paper, Fast Diffusion-Based Counterfactuals for Shortcut Removal and Generation (co-first-author with Paraskevas), has been accepted for an oral presentation at ECCV! After a long journey filled with ups and downs, it’s incredibly rewarding to see our work recognized (so far a bit) by the conference community. Can not wait to present and have (hopefully many!) interesting discussions in Milan this September 🍕
- Aug, 2024. After more than one-year’s procrastination, I finally recreated my personal webpage (this one!). I used Quarto to build it – it’s incredibly simple and includes the function to integrate code into the blogs, which I’m looking forward to trying out in a near (!) future.
