University at Buffalo - The State University of New York
Skip to Content
Scott                          Doyle

Scott T. Doyle PhD

Department of Pathology and Anatomical Sciences

Assistant Professor

Specialty/Research Focus

Digital Pathology; Image Analysis; Machine Learning; Quantitative Histology

Professional Summary:

Our group specializes in building quantitative image and data analysis algorithms for biomedical datasets. For the past 9 years, I have been developing computerized methods to quantify and analyze large medical imaging datasets. These methods include data processing, object detection / segmentation, feature extraction and selection, dimensionality reduction, and classification (supervised and unsupervised).

I strongly believe in translating academic research into real-world products and services. To that end, along with my colleagues, I have worked at a start-up company to bring my work into the marketplace -- an experience that has given me great insight into the business side of academia. This experience broadened my understanding of how basic research is translated into a profitable enterprise, and I believe these lessons have made me a better engineer.

I am currently working as an Assistant Professor in the Department of Pathology & Anatomical Sciences at the University at Buffalo, where I am focused on building a teaching and research program for quantitative modeling of anatomy and cell biology. This program will introduce students of both medicine and engineering to pattern classification approaches developed in recent years, applying them to real-world clinical problems.

Education and Training:
  • PhD, Biomedical Engineering, Rutgers, The State University of New Jersey (2011)
  • BS, Biomedical Engineering, Rutgers, The State University of New Jersey (2006)
  • Assistant Professor, Pathology and Anatomical Sciences, The University at Buffalo (2014-present)
  • Director of Research, Research and Development, Ibris, Inc. (2011–2014)
  • Graduate Student, Biomedical Engineering, Rutgers, The State University of New Jersey, Graduate School - New Brunswick (2006–2011)

Grants and Sponsored Research:
  • May 2017–May 2018
    Integration of Physical and Virtual Cadavers in a Hybrid Gross Anatomy Curriculum
    Center for Educational Innovation
    Role: Co-Investigator
  • September 2011–August 2012
    Decision Support System for Predicting Outcome of ER+ Breast Cancers
    National Institutes of Health
    Role: Co-Investigator
  • September 2007–May 2010
    Accurate and Reproducible Computerized Detection and Grading of Prostate Cancer from Histopathology
    Department of Defense
    Role: Principal Investigator
  • Malignancy Diagnosis Using Content-based Image Retrieval of Tissue Histopat This invention relates to computer-aided diagnostics using content-based retrieval of histopathological image features. Specifically, the invention relates to the extraction of image features from a histopathological image based on predetermined criteria and their analysis for malignancy determination. (2012)

Journal Articles:

School News:
In the Media:

Clinical Specialties:
Clinical Offices:
Insurance Accepted:

Contact Information

208 Farber Hall
3435 Main Street, South Campus
Buffalo, NY 14214
Phone: 716-829-2005
Fax: 716-829-2911

Log in to Update Your Profile