Speaker Profile

PhD, Director of Data Science, Ardigen

Biography
Tomasz is a passionate mathematician turned data scientist, specializing in life sciences and biomedical applications. His research experience, ranging from wet lab experiments to rigorous theorems, has allowed him to push the boundaries of computational biology with novel discoveries in information theory. However, Tomasz's true calling was working at the forefront of AIdriven drug discovery. He has an impressive track record of successful projects in biology, bioinformatics, target identification, and drug repurposing, collaborating closely with pharmaceutical research scientists and internal programs. Tomasz specializes in extracting insights from large biological and biomedical datasets. He played a significant role in developing a comprehensive AI system for target identification, and was part of the preclinical team that delivered the first end to end A drug to the clinic. Currently, Tomasz leads the Data Science Center of Excellence at Ardigen, where he oversees and drives the company's data science and artificial intelligence initiatives.


Talk
Generalizing AI for Clinical-Scale Healthcare Datasets
We delve into the broad applicability of machine learning for general population data and records. We will discuss the complexities of adapting AI models to diverse patient subgroups, mitigating biases, and ensuring the reliability and robustness of predictive algorithms that need to be implemented across multiple sites.


 Session Abstract – PMWC 2024 Silicon Valley

Track 2 - January 24 9.00 A.M.-4.45 P.M.


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

  • PMWC 2024 Award Ceremony
    Luminary Honoree: Suchi Saria, Johns Hopkins
  • Integrated Diagnostics: The Future Powered by AI and Data Innovations
    - John Kalafut, Asher Orion Group
  • AI-Driven Integration of Genomic Data for Disease Understanding and Treatment
    - Mark Yandell, University of Utah
  • AI, Big Data and the Early Detection/Prevention of Chronic Diseases
    - Lee Hood, Phenome Health
  • AI in US Military Healthcare System
    - Peter Walker, Defense Health Agency (DHA)
  • Health IT and Interoperability Policy (PANEL)
    Chair: Russ Cucina, UCSF
    - Steven Lane, Gorila Health
    - Charles Jaffe, HL7
    - Alan Swenson, Sequoia Project
    - Neli de Crescenzo, Optum
    - Julia Adler, UCSF
  • Barriers and Challenges of Deploying AI into Clinical Use (PANEL)
    Chair: Shweta Maniar, Google
    - Bernardo Bizzo, Mass General Brigham
    - Guido Matthews, Bayer
    - Tina Hernandez-Boussard, Stanford
  • Transforming Healthcare Using Big Data and Remote Monitoring
    - Michael Snyder, Stanford
  • AI to Improve Patient Outcomes: Exploring High-Speed Genomic Insights with GPU-Accelerated Tools
    Chair: Julie Gil, Velsera
    - Jason Fenwick, NVIDIA
  • AI Pathology's Horizon: Navigating the Future and Overcoming Obstacles (PANEL)
    Chair: Pavankumar Anne, ZS
    - Eric Walk, PathAI
    - Michael Rivers, Roche Diagnostics
  • PMWC Showcase
    - Elliott Green, Dandelion Health
    - Tomasz Jetka, Ardigen
    - Peter White, Nationwide Children's Hospital

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