Speaker Profile
Ph.D., Senior Principal Research Manager, Microsoft Research
Biography
Dr. Nicolo Fusi focuses on machine learning and its application to biological data. He is particularly interested in improving drug discovery through computational methods and advancing the field of precision medicine. His research spans causal inference, computational biology, and AI-driven drug discovery, combining cutting-edge AI techniques with large-scale biomedical datasets to drive innovations in healthcare.Before joining Microsoft, Dr. Fusi earned his PhD in Computer Science from the University of Sheffield and has held various research positions that bridge computer science and biology. He has authored numerous peer-reviewed publications and has been recognized for his contributions to the development of AI methodologies in life sciences. His work is instrumental in leveraging AI to transform how diseases are understood and treated.In addition to his research, Dr. Fusi is passionate about collaborating with academic and industry partners to push the boundaries of AI applications in healthcare.
Session Abstract – PMWC 2025 Silicon Valley
Track Chair:
Gad Getz, Broad Institute
- PMWC 2025 Luminary Award
Luminary Honoree: Jensen Huang, Nvidia
- Continued Jensen Huang, Nvidia
- Predictive Modeling for Drug Development
- Luca Emili, InSilicoTrials
- Knowledge Graphs, LLMs & Foundation Models for Enhanced Drug Development
- Janusz Dutkowski, Data4Cure
- Paul Rejto, Pfizer
- PMWC Showcase
- Peter Ellman, Certis Oncology
- Beyond LLMs: Harnessing Advanced AI Models for Genomics and Transcriptomics (PANEL)
Chair: Gad Getz, Broad Institute
- Yasin Şenbabaoğlu, CZ Biohub San Francisco
- Orly Alter, PrismAI
- Nicolo Fusi, Microsoft - Empowering AI in Precision Medicine with Federated Data Platforms
- Noah Nasser, Datma
- Advancing Global Health through Data Sharing: Practical Strategies and Success Stories (PANEL)
Chair: Luca Foschinii, Sage Bionetworks
- Peter Goodhand, GA4GH
- Karen Miga, UCSC
- Philip Awadalla, Ontario Institute for Cancer Research
- Driving Drug Discovery With Low-cost Foundational Omics Datasets
- Gilad Almogy, Ultima Genomics
- Johnny Yu, Vevo Therapeutics
- Stacie Calad-Thomson, NVDIA - Enabling Targeted Precision Drug & Gene Delivery with Predictive AI
- Andre Watson, Ligandal Inc.
- Quantum Leap: The Future of AI and Machine Learning with Quantum Computing
- Matthias Troyer, Microsoft
