Speaker Profile
Ph.D., Vice President, Discovery Technologies, Pfizer
Biography
Dr. Rejto leads the development and integration of cutting-edge technologies in drug discovery. With over two decades of experience, he oversees high-throughput screening, structural biology, and computational drug discovery, focusing on enhancing the efficiency and effectiveness of Pfizer's research and development efforts.Dr. Rejto holds a Ph.D. from the University of California, Berkeley, and completed a postdoctoral fellowship at Harvard University. His leadership has advanced the integration of AI and machine learning in drug discovery, contributing to key therapeutic developments. Dr. Rejto is also an active contributor to the scientific community, with numerous publications and patents.
Session Abstract – PMWC 2025 Silicon Valley
Track 2
Track Chair: Janusz Dutkowski, Data4Cure
Session: Knowledge Graphs, LLMs & Foundation Models for Enhanced Drug Development
This session will discuss how AI can combine different types of data to improve drug development. Case-studies will span a range of AI technologies (including LLMs and foundation models for omics data, generative AI approaches and knowledge graphs) and their applications from early stage R&D to clinical trials. We will showcase examples of successful projects and collaborations that are making an impact across drug discovery and development pipelines.
Session Abstract – PMWC 2025 Silicon Valley
Track Chair:
Gad Getz, Broad Institute
- PMWC 2025 Luminary Award
Luminary Honoree: Jensen Huang, Nvidia
- Keynote
- Jensen Huang, Nvidia
- AI Horizons in Precision Medicine: Decoding Tomorrow’s Innovations
Chair: TBA
- Ken Drazan, ArsenalBio
- Beyond LLMs: Harnessing Advanced AI Models for Genomics and Transcriptomics (PANEL)
Chair: Gad Getz, Broad Institute
- Yasin Şenbabaoğlu, CZ Biohub San Francisco
- Asaf Zifran, PrismAI - Advancing Global Health through Data Sharing: Practical Strategies and Success Stories (PANEL)
Chair: Peter Goodhand, GA4GH
- Chris Lunt, All of Us
- Karen Miga, UCSC
- Philip Awadalla, Ontario Institute for Cancer Research
- Knowledge Graphs, LLMs & Foundation Models for Enhanced Drug Development
- Janusz Dutkowski, Data4Cure
- Paul Rejto, Pfizer
- Quantum Leap: The Future of AI and Machine Learning with Quantum Computing
Chair: Matthias Troyer, Microsoft
- Yudong Cao, Zapata Computing
