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Pharmaceutical Data Science Conference (PharmaDS) 2025

  • 1.  Pharmaceutical Data Science Conference (PharmaDS) 2025

    Posted 01-14-2025 11:10

    The Pharmaceutical Data Science Conference (PharmaDS, https://phds.nestat.org) returns for its second year, bigger and better than before! Join us at the Crowne Plaza in Edison, NJ, from April 7th to 9th, 2025, for three days of cutting-edge insights, valuable networking, and unparalleled learning opportunities via our short courses.

    Re-imagining the future of pharma: AI-powered value creation.

    This year, PharmaDS 2025 will delve deeper into the transformative power of data science in revolutionizing the pharmaceutical industry. You'll hear from renowned experts, engage in thought-provoking discussions, and connect with a vibrant community of professionals shaping the future of pharma. 

    • Date: April 7-9, 2025
      • April 7, short courses
      • April 8-9, sessions
    • Location: Crowne Plaza, Edison, NJ; also broadcast live
    • Registration: https://phds.nestat.org/registration.php (in-person or virtual)
    • Highlights:
    • Revolutionize: Discover how AI is transforming every stage of pharmaceutical development.
    • Innovate: Leverage data science to accelerate drug development and bring life-saving therapies to market faster.
    • Network: Connect with a diverse community of experts and build valuable relationships within the pharma industry.
    •  Advance: Gain practical skills and knowledge to enhance your career in pharmaceutical data science.
    • Experience: Witness the future of pharma firsthand through insightful presentations and engaging discussions.
    • Short Courses:
      • Enhance your expertise and invest in your growth by participating in our very affordable short courses:
        1. Tutorial on Deep Learning and Generative Artificial Intelligence (AI)
        2. GenAI Content in Pharmaceutical Development: Exploring Methods and Techniques for Output Evaluation
        3. Unleashing the Power of Machine Learning and Deep Learning to Accelerate Clinical Development
        4. Biomedical Large Language Models – Development and Application
    • Diverse Speaker Lineup:
      • Hear, learn, and gain insights from our distinguished faculty and industry leaders from Abbvie, Amgen, BeiGene, Merck, HopeAI, Amgen, Cornell, Yale, and more, covering critical topics in pharmaceutical development, patient safety, and beyond.

    See the attached flyer for details. Be part of the conversation that will shape the future of pharma.

    On Behalf of Rebecca Jones-Taha and Philip He

    Co-Chairs of PharmaDS Organizing Committee

    New England Statistical Society



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    Philip He
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