Speaker Profile
M.D., Professor, U. of Pitt
Biography
Dr. Alexanderani is an Assistant Professor of Pathology at the department of pathology, University of Pittsburgh School of Medicine, specializing in Computational Pathology and Artificial Intelligence at the Computational Pathology and AI Center of Excellence. He directs a quality assurance AI program dedicated to advancing pathology through cutting-edge multimodal machine learning algorithms, focusing on "Pathomics" to uncover histopathological features in digital images and develop next-generation theragnostic tools that enhance precision medicine.As a physician-scientist, Dr. Alexanderani has significantly contributed to the field by holding numerous patents, grants, receiving prestigious awards, and authoring book chapters and manuscripts in high-impact journals, along with platform presentations at major national and international conferences. Prior to his role at University of Pittsburgh, he was the inaugural fellow in Computational Pathology and AI at Weill Cornell, where he received the prestigious NIHT32 award on the Pathologist Scientist track and the iDEA-iTECH award in precision medicine and computational biology.
Session Abstract – PMWC 2026 Silicon Valley
Track Chair:
Sharat Israni, UCSF
PMWC Award Ceremony
• Regina Barzilay, MIT
• Joe Petro, Microsoft
• Curtis P. Langlotz, Stanford University
Keynote: The Future of AI in Medical Imaging
• Curtis P. Langlotz, Stanford University
From Foundation Models to Digital Twins: AI Reshaping Clinical Imaging
• Chair: Alexander Weir, Canon Medical
• Regina Barzilay, MIT
• Joe Petro, Microsoft
• Curtis P. Langlotz, Stanford University
Fireside Chat
• Eric Horvitz, Microsoft
• Curtis P. Langlotz, Stanford University
Building Biological Digital Twins: Computational Models Linking Data to Disease Mechanisms
• Martin Stumpe, Danaher
Core AI Methods for Precision Medicine Foundations
• Chair: Sharat Israni, UCSF
• James Zou, Stanford University
• Regina Barzilay, MIT
• Olivier Gevaert, Stanford University
AI & Omics Foundation Models Powering Translational Research
• Chair: Janusz Dutkowski, Data4Cure
• Alex Moreau, Champions Oncology
• Jadwiga Bienkowska, Pfizer
Radiomics & Radiogenomics: Precision Imaging for Oncology
• Chair: Chris Hare, Canon Medical
• Ángel Alberich-Bayarri, Quibim
• Kevin Blyth, University of Glasgow
• Maria del Mar Alvarez Torres, Columbia University
Clinical Workflow Integration & Decision Support in Imaging
• Chair: Sharat Israni, UCSF
• David S. Liebeskind, UCLA
• Rajesh Shah, UCSF
• Roxana Daneshjou, Stanford University
