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.

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