Over the last 10 years, I built a program that integrates histopathology, multiplex tissue staining, digital image analysis and computational pathology for biomarker development. Advances in machine learning and high-performance computing permit the extraction of quantitative data from images of cancer tissues form patients and mouse models and to use images as molecular datasets. I am applying this approach to close the gap between laboratory research and clinical care and to develop novel algorithms for diagnosis, prognostication and treatment of cancer patients.
Board Certification and Academic Information
Academic Departments
Pathology
- Primary
Academic Divisions
Over the last 10 years, I built a program that integrates histopathology, multiplex tissue staining, digital image analysis and computational pathology for biomarker development. Advances in machine learning and high-performance computing permit the extraction of quantitative data from images of cancer tissues form patients and mouse models and to use images as molecular datasets. I am applying this approach to close the gap between laboratory research and clinical care and to develop novel algorithms for diagnosis, prognostication and treatment of cancer patients.
