Scott T. Doyle

Scott T. Doyle is an Associate Professor in the Department of Pathology and Anatomical Sciences at the Jacobs School of Medicine & Biomedical Sciences, University at Buffalo. His research integrates biomedical imaging, artificial intelligence, and computational pathology to develop quantitative tools for clinical diagnostics and anatomical modeling.

Education:

• PhD in Biomedical Engineering, Rutgers, The State University of New Jersey (2011)
• BS in Biomedical Engineering, Rutgers, The State University of New Jersey (2006)
• Optical Microscopy & Imaging in the Biomedical Sciences, Marine Biological Laboratory (2014)
• hES Stem Cell Culture Training, WNYSTEM (2014)
• R Bioconductor Training, Roswell Park Cancer Institute (2016)

Dr. Doyle’s research focuses on developing AI-driven algorithms for biomedical image analysis, particularly in digital pathology and 3D anatomical modeling. His work spans tumor segmentation, risk prediction in oral and thyroid cancers, and integration of virtual and physical anatomy in medical education. He applies machine learning, deep learning, and computational modeling to enhance diagnostic accuracy and patient outcomes.

His recent publications reflect a strong trend in applying artificial intelligence to histopathology, with emphasis on active learning, 3D reconstruction, and multi-institutional data fusion. Key areas include oral cavity cancer recurrence prediction, thyroid cancer subtyping, and computational modeling of surgical margins and anatomical structures.

Scientific Service and Recognition:

• Reviewer for NIH SPORE grants
• Peer reviewer for journals including Medical Image Analysis, BMC Bioinformatics, IEEE Transactions on Biomedical Engineering
• Program Committee and Session Chair, SPIE Medical Imaging: Digital Pathology (2016–present)
• Member, Graduate Program Steering Committee, Pathology & Anatomical Sciences
• Mentor, McNair Scholarship and CSTEP programs for underrepresented students

Dr. Doyle has secured significant research funding as Principal Investigator on NIH and CTSI grants, including a $2M+ NIH grant for predicting oral cancer recurrence. He has also contributed to educational innovation through hybrid anatomy curriculum development and AI training for pathologists. He leads the 'Atoms to Anatomy' research initiative and is active in strategic planning at the Jacobs School.

Laboratories and Collaborative Teams:
Dr. Doyle collaborates with the Center for Computational Research (CCR) and is involved in the Structural Sciences Learning Center (SSLC). He has led projects with teams at Ibris, Inc., Veterans Affairs Hospital, and Mount Sinai School of Medicine.