Munib Mesinovic
CDT Student
I obtained my Bachelors degree from New York University Abu Dhabi majoring in Electrical Engineering summa cum laude with my senior thesis on developing a wearable armband with sensory fusion with a machine learning system for risk score prediction of acute myocardial infarction. I received the Rhodes Scholarship as the first Bosnian in the award's history and completed my Masters in Computer Science at Oxford before starting the current DPhil. My masters thesis, which was awarded a distinction, concerned developing robust ensemble models for increasing CRISPR specificity and decreasing off-target incidence. I am passionate about utilising the power of artificial intelligence for the improvement of human health conditions, specifically focused on cardiovascular disease and acute medicine. Outside of my immediate research interests, I keep involved in the AI ethics debate and have been a member of the Mozilla Foundation Working Group on Building Trustworthy AI among other engagements. I love spending my time swimming and reading murder mystery novels.
Recent publications
DySurv: dynamic deep learning model for survival analysis with conditional variational inference.
Journal article
Mesinovic M. et al, (2026), Journal of the American Medical Informatics Association : JAMIA, 33, 112 - 122
Foundation models enable wearable signal screening for cardiovascular disease among people living with HIV.
Journal article
Mesinovic M. et al, (2026), Communications medicine, 6
Machine learning to improve analysis of disability in electronic health records: an untapped opportunity for health inequities research.
Journal article
Rotenberg S. et al, (2025), Disability and health journal
Foundation model embeddings enable cardiovascular screening for people living with HIV in Vietnam using wearable signals
Preprint
Mesinovic M. et al, (2025)
Explainable machine learning for predicting ICU mortality in myocardial infarction patients using pseudo-dynamic data.
Journal article
Mesinovic M. et al, (2025), Scientific reports, 15