Program

March 18, 2024

• 7:30 AM - 8:45 AM: Registrations & Breakfast
• 8:45 AM - 9:15 AM: Opening Remarks
• 9:15 AM - 10:30 AM: Keynote & Panel Discussion
  • Recent Development for AI/ML for Drug Discovery
    Haoda Fu, Eli Lilly and Company
  • Panel discussion
    Jared Christensen (Moderator), Pfizer
    Venkat Sethuraman, BMS
    Hao Zhu, FDA
    Ming-Hui Chen, University of Connecticut
• 10:30 AM - 10:45 AM: Break
• 10:45 AM - 12:00 PM: Session 1 Industry Trends & Applied Machine Learning Applications
  • Chair: Rebecca Taha, ICON
  • Decision Theoretic Procedure for Multiple Testing through Deep Neural Networks
    Meg Gamalo, Pfizer
  • Analytics, Biostatistics, AI/ML, Gen-AI, Oh My!
    Greg Szwartz, Managing Director, Life Sciences Data Science Practice Lead, Deloitte
  • Estimating Individual Treatment Effects in Randomized Controlled Trials Using Machine Learning
    Kenneth Verstrate, Researcher, KU Leuven
• 12:00 PM - 1:00 PM: Lunch and Poster Presentation
• 1:00 PM - 2:15 PM: Session 2 Clinical Development
  • Chair: Matt Austin, Amgen
  • Applications of Deep Learning Based Medical Image Segmentation in Drug Development
    David Paulucci, Director, Data Science, BMS
  • AI Guided Clinical Trial Design
    Rishu Batra, Associate Principal, ZS Associates; Ronnie Du, Associate Principal, ZS Associates
  • Strategies for Tackling Data Abstraction in Large Scale Enterprises
    David Edwards, Director, Data Science Engineering, Amgen
• 2:15 PM - 2:30 PM: Break
• 2:30 PM - 3:45 PM: Session 3 Clinical Operations
  • Chair: Nareen Katta, AbbVie
  • Integration of AI in Clinical Trials: Benefits, Risks, and Precautions
    Sidd Bhattacharya, Partner, Pharma & Life Sciences, PWC
  • Supporting Physicians to Become Clinical Researchers
    Natalie Monegro, Director, Diversity & Patient Inclusion, AbbVie
  • High-Throughput Target Trial Emulation with Real-World Data for Alzheimer’s Disease Drug Repurposing and Beyond
    Chengxi Zang, Instructor, Department of Population Health Sciences at Weill Medical College of Cornell University.
• 3:45 PM - 4:00 PM: Break
• 4:00 PM - 5:15 PM: Session 4 Digital Transformation in the Pharmacovigilance, Patient Safety, & Regulatory Space
  • Chair: Numan Karim, AbbVie
  • Accelerating Regulatory Communication with Natural Language Processing
    Rebecca Vislay-Wade, Principal Data Scientist, Moderna
  • Data Science and Gen AI: Transforming the Paradigm of Medical and Safety Data Review practices
    Sunil Talathi, Senior Director, Data Enginering Analytics, BeiGene
  • Biostats et al: Building an Interdisciplinary Platform for Aggregate Safety Assessment
    Glen Colopy, Head of Data Science, Wildfell Software
• 5:15 PM - 6:15 PM: Mixer & Poster Session
• 6:15 PM - 7:30 PM: Dinner

March 19, 2024

• 7:30 AM - 8:45 AM: Registrations & Breakfast
• 8:45 AM - 10:00 AM: Session 5 Marketing, Commercial & CMC
  • Chair: Nan Shao, Moderna
  • Data-Driven Digital and Intelligence Transformation within Pharma
    Fan Tang, Head of Data Excellence, Boehringer Ingelheim
  • Driving Marketing Success through Data Driven Insights
    Meenakshi Arora, Director, Omni-Channel Analytics, AbbVie; Naved Siddiqui, Director, Data and Analytics Products, Abbvie
  • Building a Scheduling System for Individualized Neoantigen Therapy Manufacturing
    Albert Lam, Data Scientist, Moderna
• 10:00 AM - 10:15 AM: Break
• 10:15 AM - 11:45 AM: Session 6 Data Science Organizations and Career Development (Panel Discussion)
  • Chair: Nareen Katta, AbbVie
  • Greg Ball, ASAPprocess Consulting
  • Erik Pulkstenis, AbbVie
  • JingJing Ye, BeiGene
  • Miganush Stepanians, PROMETRIKA
  • Steve Wilson, FDA
• 11:45 AM - 1:00 PM: Lunch
• 1:00 PM - 2:15 PM: Session 7 Generative AI
  • Chairs: Joan Buenconsejo, BMS; Pritibha Singh, Novartis
  • Exploring the Impact of Generative AI on Statistical Programming in Pharmaceutical Clinical Trial Reporting: A Comprehensive Overview and Analysis
    Francis Kendall, Head of Statistical Programming, AstraZeneca
  • Utilizing Large Language Models for Clinical Development: Insights on Clinical Text Mining
    Kyubum Lee, Principal Data Scienctist, Amgen
  • Large Language Models and their Applications in Drug Development
    Shams Zaman, Senior Director of Data Science & Statistical Methodology, BMS
• 2:15 PM - 2:30 PM: Break
• 2:30 PM - 3:45 PM: Session 8 Digital health technologies and Digital Devices
  • Chairs: Rebecca Taha, ICON; JingJing Ye, BeiGene
  • To Establish a Digital Bond of Global Drug Development
    Chao Liu, CFO & Co-Founder, PI Health
  • Digital Health Technologies in Clinical Investigations
    Vinay Pai, FDA/CDRH
  • Redefining Patient Assessment in Clinical Trials with Digital Technologies
    Nishit Agarwal, Medidata Solutions
• 3:45 PM - 4:00 PM: Break
• 4:00 PM - 4:45 PM: Closing Keynote
  • What Happens After the Model?
    Max Kuhn, Posit PBC
• 4:45 PM - 5:15 PM: Award Ceremony & Conference Closing

Short courses are scheduled for March 17, 2024. The morning session will run from 9:00 AM to 12:00 PM, followed by the afternoon session scheduled from 1:00 PM to 4:00 PM.