Speaker Profile
M.D., Professor, U. of Pittsburgh
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.
Talk
Non-Clinical Services Showcase:
Future Cancer Care Today
Session Abstract – PMWC 2027 Silicon Valley
Track Chair:
Okan Ekinci, Roche / Navify
PMWC Award Ceremony
• Fei-Fei Li, Stanford (Pioneer)
• Andrew Ng, Stanford / DeepLearning.AI (Luminary)
• Daphne Koller, insitro (Luminary)
Featured Speakers
• Fei-Fei Li, Stanford
• Andrew Ng, Stanford / DeepLearning.AI
• Daphne Koller, insitro
• Andy Beck, PathAI
• Germán Corredor Prada, Emory / Georgia Tech
• Drew Williamson, Emory
• Marina Sirota, UCSF
• Pranav Rajpurkar, Harvard
• Okan Ekinci, Roche / Navify
• Janusz Dutkowski, Data4Cure
• Alex Moreau, Champions Oncology
• Jadwiga Bienkowska, Pfizer
• Sharat Israni, UCSF
Beyond the Glass Slide
What computational pathology sees that humans cannot.
AI-Enabled Companion Diagnostics
From biomarker discovery to patient selection.
The Precision Oncology Operating System
Wiring multimodal AI into the oncology workflow.
AI and Omics Foundation Models
Modeling translational biology across omics, pathology, and clinical data.
From Pilot to Standard of Care
Scaling AI diagnostics in real clinical practice.
PMWC Hall of Impact
Previous Speakers Include
Nobel laureates, technology founders, regulators, CEOs and scientific pioneers who have taken the PMWC stage.
