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  • Monday, Feb 5th
    10:00 AM – 12:00 PM EST
    Development of Predictive ML Models in Drug Development
    Room/Location:  204AB
    Data Science & AI (Room 204AB)
  • Monday, Feb 5th
    10:00 AM – 10:30 AM EST
    The Challenges of building machine learning models from DNA-encoded library data
    Room/Location:  204AB
    Data Science & AI (Room 204AB)
  • Monday, Feb 5th
    10:30 AM – 11:00 AM EST
    AI to Optimize Biomedicine
    Room/Location:  204AB
    Ava P. Amini, PhD (she/her/hers) – Microsoft Research
    Data Science & AI (Room 204AB)Innovation Award
    Sponsored By 
  • Monday, Feb 5th
    11:00 AM – 11:30 AM EST
    Deep learning- and biochemistry-based screening strategy for rapid drug discovery
    Room/Location:  204AB
    Peng Gao (he/him/his) – NIH/NCATS
    Data Science & AI (Room 204AB)
  • Monday, Feb 5th
    11:30 AM – 12:00 PM EST
    AI-Enabled High Content Imaging: Maximizing the Promise, Minimizing the Peril
    Room/Location:  204AB
    Data Science & AI (Room 204AB)
  • Monday, Feb 5th
    3:00 PM – 5:00 PM EST
    Data Integration and Engineering Challenges
    Room/Location:  204AB
    Evan Anderson, PhD (he/him/his) – TetraScience, Inc.
    Data Science & AI (Room 204AB)
  • Monday, Feb 5th
    3:00 PM – 3:30 PM EST
    A Novel, Fully Transparent Form of Artificial Intelligence (AI) Useful for the Mechanistic Analysis of Drugs, Diseases, and Toxicities
    Room/Location:  204AB
    Data Science & AI (Room 204AB)
  • Monday, Feb 5th
    3:30 PM – 4:00 PM EST
    DEL+ML paradigm for discovering actionable hits – a comparative analysis of three diverse DNA-encoded libraries (DEL) and multiple machine learning (ML) algorithms
    Room/Location:  204AB
    Sumaiya Iqbal, PhD – The Center for Development of Therapeutics, Broad Institute of MIT and Harvard
    Holly Soutter, PhD (she/her/hers) – The Broad Institute of MIT and Harvard
    Data Science & AI (Room 204AB)
  • Monday, Feb 5th
    4:00 PM – 4:30 PM EST
    "Beyond the Promise of AI: Deploying Impactful AI into purposedly-built Data Infrastructure combined with experimental confirmation to enable an innovative Risk-Sharing Model"
    Room/Location:  204AB
    Thibault Geoui, PhD MBA (he/him/his) – Charles River Laboratories
    Data Science & AI (Room 204AB)
  • Monday, Feb 5th
    4:30 PM – 5:00 PM EST
    Bridging the Gap: Integrating Version Control Systems into Lab Automation Tools
    Room/Location:  204AB
    Data Science & AI (Room 204AB)
  • Tuesday, Feb 6th
    10:00 AM – 12:00 PM EST
    Data Products: Data Science Success Stories
    Room/Location:  204AB
    Data Science & AI (Room 204AB)
  • Tuesday, Feb 6th
    10:00 AM – 10:30 AM EST
    What does a data science team need to deliver successful data products in a research setting?
    Room/Location:  204AB
    Eric J. Ma, ScD – Moderna
    Data Science & AI (Room 204AB)
  • Tuesday, Feb 6th
    10:30 AM – 11:00 AM EST
    Self-driving laboratories to autonomously navigate the protein fitness landscape
    Room/Location:  204AB
    Philip Romero, PhD (he/him/his) – University of Wisconsin--Madison
    Data Science & AI (Room 204AB)
  • Tuesday, Feb 6th
    11:00 AM – 11:30 AM EST
    Analytics and AI in Biopharma: Data-Led Approaches
    Room/Location:  204AB
    Data Science & AI (Room 204AB)
  • Tuesday, Feb 6th
    11:30 AM – 12:00 PM EST
    Applying Artificial Intelligence in a Small Drug Discovery Company
    Room/Location:  204AB
    Sean Ekins – Collaborations Pharmaceuticals, Inc.
    Data Science & AI (Room 204AB)