WiML social @ EurIPS 2025

​We are happy to invite you to the Women in Machine Learning (WiML) social co-located with EurIPS 2025 at The Tree House, Bella Center, Copenhagen. 

Register here to attend the event: https://luma.com/rs5val4p

Be aware that, to attend the event, you must be registered to the EurIPS conference: https://eurips.cc/​

The WiML @ EurIPS 2025 social will be held in person with invited speakers, oral presentations, and posters. The event brings together members of the academic and industry research landscape for an opportunity to connect and exchange ideas, and learn from each other. Underrepresented minorities and undergraduates interested in pursuing machine learning research are encouraged to participate. All genders are invited to attend.

Program (tentative)

​10:00 - 10:10: Opening remarks

10:10 - 10:40: Invited talk

10:40 - 11:00: Poster presentations

11:00 - 11:30: Panel

11:30 - 12:30: Networking/mentoring activities

12:30 - 13:30: Lunch

13:30 - 14:30: Poster session

WiML Social Organizers

Ana Lucic (Website: https://a-lucic.github.io/)  

I am an assistant professor in AI at the University of Amsterdam, with a joint position between the Institute for Logic, Language, and Computation, and the Informatics Institute. My work focuses on interpretable machine learning for the natural sciences. Previously, I was a researcher at Microsoft Research AI for Science, where I was one of the core scientists behind the Aurora foundation model. I was also a research fellow at the Partnership on AI. 

I have a PhD in explainable ML from the University of Amsterdam, supervised by Maarten de Rijke and Hinda Haned. My MSc and BSc are both in mathematics from McMaster University. 

Date: December 3rd, 2025 (Wednesday)

Time: TBD

Place: TBD - Copenhagen, Denmark

Stella Grasshof (Website: https://stellagrasshof.com/)   

I am an Assistant Professor in the Data Science section at the IT University of Copenhagen and at the Pioneer Centre for Artificial Intelligence. I hold an M.Sc. in Computational Life Science from Universität zu Lübeck and a Dr.-Ing. (PhD) from the Leibniz Universität Hannover (Germany).

My research lies at the intersection of human-centred machine learning and visual computing, with a focus on generative AI for images and video, human faces and motion, computer vision, and applications in mental health. Additionally, I am part of the Lundbeck Foundation Investigator Network (LFIN), where I serve as a board member.

WiML board liaison

• Giulia Clerici – WiML EurIPS liaison

• Tatjana Chavdarova – WiML Vice president of Events

• Alessandra Tosi - WiML Vice president of Programs

Thanks to our Sponsors!