About Me

Hi there!👋 I am a PhD student in Machine Learning at ETH Zurich, supervised by Prof. Julia Vogt (ETH) and Prof. Bernhard Schölkopf (Max Planck Institute). My current research focuses on the development of generative models and gaining a better understanding and control of them (diffusion, VAEs, LLMs) through their representations, as well as solving problems on interpretability of machine learning methods. Recently, I have become interested in machine unlearning, in an effort to comprehend how models can selectively forget data while retaining general knowledge. In parallel, I am working on the development of foundation models as part of the Swiss AI initiative to better understand VLMs and exploit their capabilities in real-world clinical applications.

During my PhD, I have been a visiting student at Cambridge University with Prof. Mihaela Van der Shaar, working on alignment and interpretability of LLMs. Additionally, I have been a Research Intern and a Student Researcher at Google, developing 3D diffusion-based generative models in the AR&VR team, and I am the team co-leader of CSNOW, Computer Science Network of Women at ETH.

Prior to my doctoral studies, I obtained a MSc in the Department of Information Technology and Electrical Engineering at ETH Zurich, and spent a semester at Harvard University working on 3D generative models for super-resolution of MR images. I was lucky to be supported by two Spanish Excellence Fellowships, La Caixa and Rafel del Pino. Before that, I completed my BSc in Biomedical Engineering at Universidad Carlos III de Madrid, spent one year at Georgia Institute of Technology, and carried out an internship at ETH Zurich as an Amgen Scholar.

I am always happy to collaborate and discuss new topics, feel free to reach out! 😃💡