Collaboration
We actively seek partnerships with research institutions, healthcare organizations, and technology teams working at the intersection of epidemiology, machine learning, and population health data.
Areas of Interest
We are particularly open to collaborations in the following domains:
- Large-scale epidemiological studies using real-world healthcare data
- Machine learning pipelines for disease prediction and risk stratification
- Local language models (LLMs) for clinical text analysis and outcome prediction
- Healthcare data infrastructure and interoperability standards
- Joint grant applications and multi-site research consortia
- Student and postdoc exchanges in health data science
Get in Touch
If you are interested in exploring a collaboration, please fill out the form below. We review every inquiry and respond within two weeks.
Students who want to join the lab as research assistants or work on a research project with us are also welcome to use this form.