With the increasing popularity of artificial intelligence, machine learning nowadays has a key role to unlock clinical data and solving some of healthcare's problems. In my research, I aim to use principles of machine learning and statistical modeling to identify and make sense of the patterns and structures in healthcare data and using those patterns for clinical-decision support.
I hold a PhD degree in neurorehabilitation engineering from Aalborg University, and a master’s degree in biomedical engineering from Ulster University. And currently I work as a postdoctoral fellow in Interdisciplinary Orthopedics group at Aalborg University Hospital.
In this group we are working together to transform clinical data into high-level meaningful knowledge in order to improve the quality healthcare and reduce time spent at hospitals. Specifically, we’re automating medical image analysis using machine learning algorithms to improve diagnostic quality. We are also working on large-scale deployment of wearable sensors for healthcare applications to improve postoperative patient care after orthopedic surgeries.