Speaker Profile

Ph.D., Chief Health Informatics Officer, Sema4

Biography
Rong Chen is a recognized leader on translational bioinformatics, genetics, genomics, and precision medicine. For over 20 years, he has developed a wide variety of knowledgebase, data solution, platform, and clinical applications to drive clinical value in Health systems. He has developed Centrellis data platfrom to abstract longitudinal journey of millions of patients from diagnosis, treatment, to outcome from structured and unstructured data in EMR, interpret pathogenicity of hundreds of millions of genetic variants, enable physicians and scientists in health systems and Biopharma to visualize journey of millions of patients, and understand the natural history, disease progression, and treatment response for oncology and rare genetic disease. Using the platform, he developed algorithm to scan EMR and predict patients who requires clinical genetic tests but never tested to shorten diagnostic odyssey systematically. He has authored over 100 papers, and was a founding member of two startup, Sema4 and Personalis.

Talk
Scalable Data Platform to drive value with Health Systems
I will present Centrellis data platform to abstract, analyze, and visualize journey of millions of patients with clinical and genetic information, deliver solutions to deliver clinical values to Health Systems at scale.


 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