Katharina Hoebel, MD, PhD

Katharina Hoebel is a Postdoctoral Research Fellow in the lab of Kun-Hsing Yu in the Department of Biomedical Informatics at Harvard Medical School in Boston. Previously, she completed her PhD in Medical Engineering and Medical Physics in the Harvard-MIT Division of Health Sciences and Technology at MIT, under the guidance of Prof. Jayashree Kalpathy-Cramer. From 2023 to 2024, she was a Research Fellow in the Department of Data Science at Dana-Farber Cancer Institute in Boston. Katharina also holds an MD from Heidelberg University Medical School and a BS in Physics with a minor in Computer Science from Kiel University in Germany.

Katharina’s research focuses on developing AI models tailored to the specific needs of our healthcare systems, grounded in the belief that making a meaningful impact on healthcare providers and patients requires the development of models guided by domain expertise and a user-centered approach. Currently, her primary focus lies in leveraging the capabilities of ML models to emulate complex patterns within medical data. Drawing inspiration from work in drug discovery and interpretability, she aims to employ these models to enhance our understanding of complex diseases such as cancer.