Speaker Profile

Ph.D., Ph.D., Assistant Professor of Research, Calmi2

Biography
Bhavesh Patel completed his Ph.D. in Mechanical Engineering at the University of California Berkeley where he specialized in computational modeling. He joined the California Medical Innovations Institute (Calmi2) right after graduating in 2015 where he has been developing computational models for various organs and medical devices. He has been involved in Findable, Accessible, Interoperable, and Reusable (FAIR) data practices since 2019. He founded and leads the FAIR Data Innovations Hub, a division at Calmi2 where he and his team are developing various computer tools that make it easier for biomedical researchers to make their data FAIR. These include tools such as SODA (Software to Organize Data Automatically) for the NIH SPARC program and fairhub.io for the NIH Bridge2AI program.

Talk
Optimizing AI-based discoveries through FAIR data practices
The Findable, Accessible, Interoperable, and Reusable (FAIR) Principles provide a widely accepted framework for curating and sharing research data in a way that optimizes reuse by humans and machines. Here, I will present our solutions for FAIRifying biomedical research data, which is crucial to increase the pace of AI-based discoveries.


 Session Abstract – PMWC 2023 Silicon Valley

Track 2 - January 27 9.00 A.M.-3.45 P.M.


Track Chair:
William Oh, Mount Sinai

  • PMWC 2023 Award Ceremony
    Honoree: Gad Getz, Broad Institute
  • How Healthcare Can Solve Its Data Problem
    - Rod Tarrago, AWS
  • Analysis of Omics Data Using Novel AI Strategies Provides Insights and Applications into Healthcare
    - Michael Snyder, Stanford University
  • NLP Applications to Parse Unstructured Medical Text
    Chair: William Oh, Mount Sinai
    - Rong Chen, Sema4
  • AI/ML Applications in the Hospital/Clinical Setting, for Clinical Trial Design and Patient Selection
    - Matthew Lungren, Microsoft
  • Improving the Probability of Technical and Regulatory Success
    Chair: Elizabeth Lamont, Medidata Solutions
  • AI/ML Applications for Patient Outcomes Prediction and Clinical Decision Support
    Chair: Alex Sherman, Harvard University
    - Indu Navar, EverythingALS
    - Nuray Yurt, Novartis Oncology
    - Jake Donoghue, Beacon
    - Marie Abele, Harvard
  • FAIR Data Approaches to Make Data Usable, Accessible, and Findable
    - Bhavesh Patel, Calmi2
  • The Pharma Informatics Ecosystem (PANEL)
    Chair: Maria Kasarides, BMS
    - Colin Hills, GNS
    - David Ledbetter, UPN
    - Chris Bakan, Roche
    - Subha Madhavan, Pfizer
  • PMWC Showcase
    - Speaker TBA, Seven Bridges