Biography
Munib Mesinovic is a Postdoctoral Research Assistant in the AI4DH lab. His work focuses on novel multi-modal graph approaches to modelling complex healthcare data. His methods seek to tackle challenges in survival analysis with deep learning, interpretability through robust causal constraints, and resistance to distribution shift through graph invariant methods.
He has previously completed his DPhil in Engineering Science working on AI prediction models for heart attacks, and his Master's in Computer Science at Oxford where his master's thesis on applications of deep learning to CRISPR design in genetic engineering was awarded a distinction. Munib completed his undergraduate studies at NYU Abu Dhabi after which he won a Rhodes Scholarship.
Google Scholar
Awards and Prizes
- Rhodes Scholarship
- MPLS ED&I Fellowship
- Turing PhD Student Enrichment Award
Research Interests
- Heart attack prediction with explainable AI
- Deep learning for time-to-event analysis
- Dynamic graphs for time-series classifications
