معرفی
Brett McKinney, Ph.D., is a Professor of Computer Science and Mathematics at The University of Tulsa, holding the Warren Foundation Chair in Bioinformatics and serving as Dean Fellow. He leads the McKinney Lab, focusing on machine learning applications in biomedical and physical sciences, including astrobiology and quantum mechanics. His research spans explainable AI models for biosignature detection, epidemiological modeling, and theoretical physics.
Education: Summa cum laude B.S. in Mathematics and Physics from TU (1996), M.S. (1999) and Ph.D. in Theoretical Physics from OU (2003). Postdoctoral training in biomathematics at Vanderbilt University Medical Center preceded his faculty role at UAB School of Medicine before joining TU. His dual departmental appointment bridges Computer Science and Mathematics in the College of Engineering & Computer Science.
Research emphasizes machine learning for gene-gene interactions, network feature selection, and astrobiology missions. Notable contributions include the GAGE model for depression, C-NPDR feature selection, and autonomous science systems for ocean world exploration. He collaborates with institutions globally on neuroscience, immunology, and geochemistry projects.
- Awards: Warren Foundation Chair in Bioinformatics
- Labs: McKinney Lab (AI/ML applications)
- Publications: Over 70 peer-reviewed articles on AI in biosciences, quantum mechanics, and epidemiology
His work combines computational theory with real-world applications, advancing interdisciplinary research in health and space science.
