research

My work sits between control theory and mathematical biology. The common thread is building models that are faithful enough to be useful clinically, and control and estimation methods that remain tractable when those models are switched, nonlinear and only partially measured.

Adaptive digital twins for personalized medicine

Calibrating patient-specific models online with adaptive estimators.

MPC for switched nonlinear systems

Time-constrained predictive control with guarantees that survive mode transitions.

Epidemic control and optimal interventions

Balancing public-health objectives against socio-economic cost.

Artificial pancreas and glycemic control

Meal detection, carbohydrate estimation and personalized insulin delivery.