XAI for Science Lab | Ana Lucic

I am an assistant professor in machine learning at the University of Amsterdam, where I lead the Explainable AI for Science lab. I have a joint position between the Institute for Logic, Language, and Computation, and the Informatics Institute. I am an ELLIS member and part of the corresponding Amsterdam ELLIS Unit. My group is closely affiliated with the Amsterdam AI for Science research center, the SIAS group, and the NLP Unit.

Previously, I was a researcher at Microsoft Research AI for Science, where I worked on foundation models for Earth system modeling and at the Partnership on AI where I worked on explainable ML for healthcare. My PhD in explainable ML is from the University of Amsterdam and my MSc and BSc are both in mathematics from McMaster University in Canada.

My current research interests are primarily at the intersection of AI for science and ML interpretability. My group works methodological development in machine learning with applications in weather and climate modeling, molecular simulation, and fluid dynamics. I am also broadly interested in AI safety and am a mentor at Safe AI Netherlands.

I regularly supervise thesis projects from motivated UvA MSc/BSc students with a strong academic record and an interest in the research topics listed above. If you are interested, please email me with a description of what you want to work on and a complete transcript of your grades. I unfortunately do not have capacity to supervise MSc/BSc students from outside the UvA. All PhD vacancies will be posted on the University of Amsterdam’s vacancy website. I do not have any open PhD positions that are not posted on the UvA website. Due to the enormous volume of emails I receive from prospective students, I cannot respond to every email. Writing in your own words increases the probability of getting a response.