Nadine Domnik

Nadine Domnik started her PhD in July 2022 in the area of digital health technologies. Her research is focused on assessing and modeling upper limb recovery in neurological patients. The main tool she is using for her research is the Virtual Peg Insertion Test.

Born and raised “im Schwobaländle” (= Swabian country) close to Tübingen, Germany, Nadine studied Mechanical Engineering in Karlsruhe to then move to Aachen to conduct her masters at RWTH. Her master degree was achieved in May 2022 in Simulation Sciences with specialization in Biomedical Engineering. Nadine’s enthusiasm about novel technologies as well as medicine, led her to the Helmholtz Institute in Aachen where she worked for almost three years in the area of robotics for the medical field.

In October 2021, she received the external page IDEA League Research Grant to write her master thesis at the Computer Vision Laboratory at ETH Zürich. Her topic were muscle transfers in the shoulder, with which she aimed to understand surgical outcomes and neuroplasticity better by using a combination of Deep Reinforcement Learning and musculoskeletal shoulder models.