Research participation to a medical Digital Twin (DT) project

Description, Responsibilities, and Qualifications

DESCRIPTION

We are seeking 1-2 highly motivated graduate or advanced undergraduate students with strong backgrounds in modeling and simulation methods to join our research team. This is an exciting opportunity to contribute to the emerging field of medical digital twins (DTs)—a rapidly growing area at the intersection of healthcare, engineering, and computational science.

Our cross-cutting research project aims to design and implement a novel DT platform that integrates sensing technologies, patient-specific computational models, human-in-the-loop simulation in AR/VR environments, and medical technology applications (robotics, smart devices, precision medicine). The purpose of that DT is to run real-time predictive risk analysis of clinical scenario that can ultimately transform patient care.

Participation to this project will bring the opportunity to conduct translational research with direct healthcare applications, a chance to shape an early-stage but high-impact research agenda in the digital twin domain.

STUDENT ROLES

• Digital Twin Development – focusing on the design and integration of sensing, modeling, and simulation components. Preference is given to students experienced with AR/VR simulations.
• Risk Analytics with Dynamic Bayesian Networks – developing Bayes probabilistic modeling and analysis methods for predictive healthcare applications.