Speaker Profile

Ph.D., Principal Researcher, Microsoft Health Futures

Biography
Tristan Naumann is a Principal Researcher in the Real World Evidence (RWE) group at Microsoft Researchs Health Futures. His research focuses on problems at the intersection of machine learning (ML) and health, specifically exploring relationships in complex, unstructured health data using techniques from natural language processing (NLP) and unsupervised learning. He values supporting the broader ML community through academic service and has served as a General Chair, and a variety of other roles, for NeurIPS, AHLI Conference on Health, Inference, and Learning (CHIL), and Machine Learning for Health (ML4H).


Talk
Advancing Health at the Speed of AI
The dream of precision health is to develop a continuous learning system where new health information is instantly incorporated to optimize care delivery and accelerate biomedical discovery. I'll present our research progress on advancing generative AI for precision health, spanning biomedical large language models, multimodal learning, and causal discovery.


 Session Abstract – PMWC 2024 Silicon Valley

Track 2 - January 25 9.00 A.M.-4.30 P.M.


Track Chair:
- William Oh, Mount Sinai

Patient-centric data – Real-World Evidence (RWE) and Real-World Data (RWD) - is becoming instrumental in the drug development process and for health care decisions in general. This data is not only informative for the process from discovery to new indications, clinical trial design, and drug development, it also can be of value to monitor post-marketing drug safety and for decision support in clinical practice. As the data becomes a decision driver, science companies and medical organizations are increasingly focused on leveraging RWD and RWE to not only better understand the patient populations using their drugs and the respective outcomes, but also to accelerate clinical decision support. This session will focus on the various aspects of integrating RWE and RWD to support drug development and clinical decision support.

Sessions:

  • PMWC 2024 Award Ceremony
    Pioneer Honoree: Atul Butte, UCSF
  • Opening Talk: Pioneering the Next Decade: The Transformative Potential of Real-World Evidence/Data
    - William Oh, Mount Sinai
  • Strategies to Enhance Data Sharing in Medical Research (PANEL)
    Chair: Amar Das, Guardant Health
    - Paul Boutros, UCLA
    - Ziad Obermeyer, UC Berkeley
    - George Sledge, Caris Life Sciences
    - Erica Galvez, Manifest MedEx
  • Data Privacy and Security in RWE/D (PANEL)
    Chair: Deven McGraw, Invitae
    - Christopher Boone, Oracle
    - John Kalafut, Asher Orion Group
    - Susan Stayn, Stanford
    - Jessica Santos, Oracle
  • Using RWD to Accelerate Precision Medicine Product Development
    - Mark Watson, Guardian Research Network
  • Multi-Modal Datasets & RWE/D: Pioneering Tools for Accelerated Biomedical Research (PANEL)
    Chair: Ilyana Rosenberg, Microsoft
    - Charlene Son Rigby, STXBP1 Foundation
    - John Wilbanks, Broad Institute
    - Tristan Naumann, Microsoft
  • Leveraging RWE/D in Lupus: Using RNA Data and Predictive AI to Enhance Patient Care Decisions (PANEL)
    Chair: Amrie Grammer, Ampel Biosolutions
    - Ajay Nirula, Eli Lilly
    - Pete Schafer, Bristol Myers Squibb
  • Accelerating Drug Development Approvals Using RWE/D (PANEL)
    Chair: Mika Newton, xCures
    - Leo Russo, Pfizer
    - Eric Schadt, Pathos AI
    - Ashley Brenton, Optum
    - Nasha Fitter, Invitae
  • CVS Health Real World Evidence – Updates and New Directions in RWE
    Chair: Alexandra Berk, CVS Health
    - Kate Rosenbluth, Cala Health
  • Regulatory Challenges in RWE (PANEL)
    Chair: Susan Winkler, Reagan-Udall Center
    - Mei Sheng Duh, Analysis Group
    - Rachael Fones, IQVIA

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