This is a personal site focused on computational modeling and simulation (CM&S) for healthcare applications, with an emphasis on model credibility (“when can a computational model be trusted?”) and emerging CM&S/AI methods.

About Me

I am a Senior Research Scientist at the U.S. Food and Drug Administration (FDA), Center for Devices and Radiological Health (CDRH), where my work focuses on the role of computational modeling and simulation in medical device evaluation.

I led the development of the CDRH Guidance on model credibility, and have worked extensively on verification, validation, and uncertainty quantification (VVUQ) in this context. My work also explores how CM&S and machine learning methods can be combined in regulatory-relevant settings.

I have authored over fifty peer-reviewed publications (6000 citations, h-index 37) spanning cardiac electrophysiology, soft tissue mechanics, physiological closed loop control, patient-specific modeling, digital twins, and in silico clinical trials.

I co-founded FDA’s Modeling and Simulation Working Group and am a member of the ASME V&V40 Subcommittee on model credibility. I have a BA in mathematics from Cambridge University and a PhD in computational cardiology from Oxford University.

Selected Highlights