Dr. Gubanov is an assistant professor and a lead PI on a multi-year NSF ($550K) grant and a Casey DeSantis Cancer Innovation Fund ($1.2M) consortium grant with Moffitt Cancer Center to develop new AI for better cancer practices. He earned his PhD from the University of Washington and completed a postdoc at MIT CSAIL. His honors include the Amazon AI AWS Research Award, the Communications of the ACM (CACM) Award, the ACM SIGMOD Research Highlights Award, and the IEEE ICDE Best Paper Award.

Dr. Bhasuran is a researcher in clinical data science and biomedical informatics with over a decade of experience developing AI classification and prediction models. His work integrates clinical NLP, machine learning, and generative AI to advance computational methods for population health and clinical decision-making. His interests include causal inference, knowledge graphs, and fairness/explainability in AI systems.