Speaker Profile

Developed machine learning algorithms that improved critical care

Ph.D., Professor in Computer Science and Health Policy and Management, Johns Hopkins U.

Suchi Saria is a highly respected computer scientist and healthcare researcher who currently serves as the John C. Malone endowed chair and professor in the Departments of Computer Science, Medicine, Health Policy and Management at Johns Hopkins University. She is also the founding director of the Machine Learning, AI and Healthcare Lab at Johns Hopkins, where she leads a team of researchers dedicated to using machine learning and AI to improve healthcare outcomes. Professor Saria is known for her outstanding contributions to the precision medicine field through the development of AI algorithms and systems for clinical decision-making. Her work in predicting patient deterioration and providing personalized treatment recommendations has had a significant impact on patient care in critical care settings. For her contributions to the field of AI, machine learning and healthcare, Professor Saria has received various awards and honors. In addition to her research, Saria is a committed educator and mentor, teaching courses in machine learning, data science, and healthcare, and supervising numerous graduate students and postdoctoral fellows. She is also actively involved in promoting diversity and inclusion in STEM fields. Outside of her academic work, Professor Saria is a co-founder of Bayesian Health, a startup that aims to improve patient outcomes and reduce healthcare costs through the use of AI and machine learning.

 Session Abstract – PMWC 2024 Silicon Valley

Track 2 - January 24 9.00 A.M.-4.30 P.M.

Track Co-Chairs:
Russ Cucina, UCSF
John Kalafut, Asher Orion Group

  • PMWC 2024 Award Ceremony
    Luminary Honoree: Suchi Saria, Johns Hopkins
  • Fireside chat: Claire Bloomfield, NHS England and John Kalafut, Asher Orion Group
  • Health IT and Interoperability Policy (PANEL)
    Chair: Russ Cucina, UCSF
    - Steven Lane, Gorila Health
    - Alan Swenson, Sequoia Project
  • Barriers and Challenges of Deploying AI into Clinical Use (PANEL)
    Chair: Chris Austin, AWS Global Medical
    - Bernardo Bizzo, Mass General Brigham
    - Sylvia Katina Plevritis, Stanford
    - Guido Matthews, Bayer
  • Transforming Healthcare Using Big Data and Remote Monitoring
    Chair: Michael Snyder, Stanford
  • Transform Healthcare with Innovative AI Applications
    Chair: Mark Yandell, University of Utah
    - Suchi Saria, Johns Hopkins
  • AI-Powered Clinical Knowledgebases to Advance Precision Medicine Clinically
    Chair: Rakesh Nagarajan, Velsera
  • The Impact of AI and High Resolution Digital Slide Imaging on Clinical Practice
    Chair: Chris Coley, Epredia
  • PMWC Showcase
    - Ziad Obermeyer, Dandelion Health


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