معرفی
Michael Krauthammer is a Lecturer in Biomedical Informatics & Data Science at Yale School of Medicine. He holds appointments in the Center for Biomedical Data Science and Yale Cancer Center. His research focuses on computational biology, medical informatics, and applications of machine learning in healthcare, particularly in genomics and cancer research. He has a MD from Universität Zurich (1995) and PhD from Columbia University (2003).
Key research interests include genome editing efficiency prediction, cancer-associated fibroblast characterization, and AI-driven disease activity modeling. He collaborates with researchers such as Ruth Halaban, Mario Sznol, and Douglas Brash on melanoma genetics and molecular pathways. His lab has developed tools like Yale Image Finder and Fragmentstein for biomedical data analysis.
Recent publications highlight advancements in base editing optimization, chromatin context modeling for prime editing, and longitudinal cell-free DNA analysis in radiotherapy patients. Krauthammer’s work bridges computational methods with clinical applications, addressing challenges in oncology, immunology, and precision medicine.
