Jonathan Colen

Jonathan Colen

Guiding discovery in science and health using AI/ML

Personal, social, and environmental health

Hydrodynamics of social behavior

Radiation-induced immune suppression

Harmonizing radiomics for lung cancer

Adverse health outcomes can be driven by social and environmental determinants of health as well as individual behavior. Improving health outcomes requires addressing each of these factors. At the Hampton Roads Biomedical Research Consortium, we aim to improve health outcomes by leveraging domain expertise, incorporating community knowledge, and using machine learning to link and understand diverse multi-modal datasets.

Data-driven discovery in physics and biology

Non-reciprocal wave propagation

Drosophila embryogenesis

Cell mechanics

Physicists model the world around us by starting from fundamental principles like symmetries and conservation laws. Some soft and biophysical systems may lift these foundational rules, producing complex behavior that is hard to understand without new approaches to model-building. To address this challenge, we combine physical theory and machine learning in order to guide scientific discovery for a range of physical and biological experiments.