Projects

Predicting of COVID-19 hospitalization, ICU, and death at the time of RT-PCR testing, days in advance of a patient seeking medical care, allowing for improved care and resource allocation

Automating the design and validation of radiotherapy treatment plans to better treat cancer

Scheduling surgeries in a central waitlist across multiple collaborating hospitals and surgeons to maximize total surgeries and minimize wait times

Matching pools of kidney patients to eligible donors to maximize total transplants

Predicting survival of bone marrow transplants using machine learning

Predicting pandemic disease spread through very large agent-based simulations and optimizing mitigation strategies through graph theory and machine learning