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2025 Becich-Friedman Distinguished Oral Presentations

The Association for Pathology Informatics established the Becich-Friedman Distinguished Oral Presentations at the Pathology Informatics Summit Meetings to honor two founding pillars of both the meeting and the association: Dr. Michael Becich and Dr. Bruce Friedman. Through their tireless efforts over the past three decades, the discipline of Pathology Informatics has evolved and grown in sophistication, garnering the attention it rightly deserves. Presentations for this prestigious award are chosen based on their merit for advancing important and timely topics in Pathology Informatics.  


Wednesday, May 21, 2025
Talks begin at 1:00 pm in the Elizabeth Ann Room

Lee Schroeder, MD, PhD
Interim Director, Division of Clinical Pathology
University of Michigan - Ann Arbor, MI
Measuring the Impact of a Celiac Disease Testing Algorithm: Demonstrating the Value of the Clinical Laboratory

Dr. Lee Schroeder is Associate Professor of Pathology at the University of Michigan where he is CLIA director for the Michigan Medicine Clinical Laboratories and Interim Director of the Division of Clinical Pathology. He is board-certified in clinical informatics and is a member of the PLUGS Informatics Committee. Dr. Schroeder is a recent member of the World Health Organization Strategic Advisory Group of Experts on In Vitro Diagnostics (SAGE-IVD), the committee responsible for the Essential Diagnostics List, and was an author for the Lancet Commission on Diagnostics. Dr. Schroeder’s academic focus is at the interface of clinical informatics and health services research, using decision analytic approaches to understand and improve the impact of laboratory medicine. CLOSE

Ibrahim Yilmaz, PhD
Senior Data Science Analyst
Mayo Clinic - Jacksonville, FL
SegRenal: AI-Driven Segmentation of Frozen Sections in Transplant Kidney Biopsies - A Comparative Analysis of Deep Learning Models

Ibrahim Yilmaz, Ph.D. is a Senior Data Science Analyst in the Department of Laboratory Medicine and Pathology at Mayo Clinic, Jacksonville, Florida. He earned his M.S. and Ph.D. degrees in Computer Science from Tennessee Technological University, where his research focused on machine learning and computer vision applications in healthcare. Over the years, he has authored numerous peer-reviewed publications in the fields of medical imaging, digital pathology, and AI-based clinical decision support systems. His work covers a broad range of topics, including cancer detection, histopathological image analysis, semantic segmentation, classification, and the development of translational AI tools for pathology. Beyond his core research in medical AI, Dr. Yilmaz has also contributed to projects involving data security and algorithmic fairness, reflecting his commitment to building responsible and trustworthy AI systems. He is particularly passionate about bridging the gap between cutting-edge research and real-world clinical impact by developing robust, interpretable, and scalable AI models. CLOSE

Christopher Zarbock, MD
Clinical Informatics and Molecular Diagnostics Fellow
University of Washington School of Medicine at St. Louis
St. Louis, MO
Identification of Inappropriate 1,25-Dihydroxy Vitamin D Ordering Within a Large, Tertiary Healthcare System

Chris hails from Wisconsin, where he spent many of his formative years. He earned a biomedical engineering degree from Dartmouth College and a Bachelor of Engineering degree from the Thayer School of Engineering at Dartmouth College. He earned his MD from the University of Wisconsin, Madison School of Medicine and Public Health, and completed a clinical pathology residency at the University of Minnesota Medical School. He is excited to now complete fellowship training at Washington University in St. Louis in both molecular genetic pathology and clinical informatics – two areas of immense interest to him.CLOSE