Girmaw is a Research Scientist at IBM Research Africa working in AI Science and Healthcare teams, mostly on designing machine learning techniques to utilize multiple data sources to understand global healthcare challenges (e.g., child mortality), and to discover anomalous groups related to interventions. Prior to that, Girmaw worked as a Postdoctoral Researcher at the University of Oxford, where he primarily developed deep learning techniques to assist diagnosis of cardiovascular disease, cancer, tetanus and hand, foot and mouth diseases. He worked in multiple projects with international collaborations including clinicians and reasearchers in China and Vietnam.
Girmaw completed his PhD at Queen Mary University of London under the Erasmus Mundus Double Doctorate Program in Interactive and Cognitive Environments with UPC-BarcelonaTech. His PhD research focused on computer vision and machine learning algorithms for human activity recognition using wearable sensors. He has worked in various research groups across Europe, including the Technical Research Center for Dependency Care and Autonomous Living (Barcelona, Spain), KU Leuven in Belgium, and INESC-ID in Portugal). Girmaw is serving as a reviewer for multiple IEEE Journals (e.g., Internet of Things, Multimedia, Biomedical and Health Informatics) and as a program committee (e.g., AAAI) and/or co-organizer of multiple workshops (e.g., AISG, ML4H at ICLR, ICML and NeurIPS).