Hi! I am a post-doc researcher in AI interpretability for bio-medical research and discovery. I sit on the bridge between biomedicine and technology, with the aim of discovering how AI can enrich our understanding of pathologies.
I hold a Ph.D. in Computer Science from the University of Geneva and my Ph.D. dissertation received the best thesis award from the IEEE Technical Committee on Computational Life Sciences. I also hold a MPhil in Machine Learning, Speech and Language from the University of Cambridge.
This website hosts a collection and summary of my work, talks and hints on the small habits that keep me living a happy and satisfying life.
Latest Talks
I will be teaching in the Explainable AI track of the VISUM summer school together with Prof. Henning Müller. Stay tuned!
“Interpretability of DL for microscopy imaging: Importance, Utility, Impact“. Invited Lecture at the Pathology congress on “Quality Improvement in Clinical Laboratories”, in the session on Artificial Intelligence, Data Science and Laboratory Medicine. Here the slides.
“DL Interpretability for the discovery of biomedical patterns” at the Interpretability in AI Workshop at Banff International Research Station (BIRS) for Mathematical Innovation and Discovery
Publications
A Global Taxonomy of Interpretable AI: Unifying the Terminology for the Technical and the Social Sciences, under review
On the scale invariance in state of the art cnns trained on imagenet, Machine Learning and Knowledge Extraction
Mentoring: Work with intention and joy
I share here a collection of posts and interesting readings on how to reach a healthy balance between work and private life.
Better saying nothing than anything useless.
The aim of this website is to provide information that is useful.
Feel free to leave feedback. Discussions are welcome. Drop me an email with what you think!
Qualifications
PhD student on AI interpretability for Medical Imaging.
MPhil in Machine Learning and Machine Intelligence
BEng. IT Engineering
Mara Graziani 