Welcome to my Homepage

“Questions you cannot answer are usually far better for you than answers you cannot question.” - Yuval Noah Harari

Driven to solve challenging health care problems with machine learning solutions.

My research centers on developing foundation models for healthcare and creating the large-scale data resources necessary to train them.

I am particularly interested in how foundation models can generalize across diverse clinical settings and enable new capabilities for understanding complex patient data. As part of this work, I have led the development of ICareFM, a foundation model for intensive care trained on hundreds of thousands of patient stays from hospitals worldwide.

A core aspect of my work involves bridging the gap between cutting-edge machine learning research and real-world clinical applications. I am actively involved as a machine learning lead in prospective clinical studies at Inselspital Bern, including the BEACON interventional trial, where we are deploying AI systems directly into ICUs to support clinical decision-making.

Looking forward, I am exploring how to make foundation models more accessible and interactive for clinicians through conversational AI interfaces — working toward digital patient twins that enable intuitive exploration of complex temporal health data.

I joined the Biomedical Informatics Group at ETH Zürich in 2022. Get in touch here and learn more about open project proposals here. My work has been recognized with the 2026 Apple Scholars in AI/ML fellowship.

Interests

• Foundation Models for Healthcare
• ML Model Deployment in Clinical Settings
• Time-Series Modeling
• Data Harmonization
• Self-Supervised Learning and Representation Learning
• Natural Language Processing
• Knowledge Extraction
• Graph Neural Networks

Education

• PhD in Machine Learning, ETH Zürich ongoing since 2022
• Master in Data Science, ETH Zürich
• Bachelor of Computer Science, ETH Zürich