PD2M AI For Pharma Conference | AIChE

We are very excited to announce the PD2M AI For Pharma Conference. The conference will be a vibrant forum for stakeholders to share innovative uses of AI/ML to challenges in drug discovery and development as well as manufacturing and regulatory to accelerate adoption of AI/ML tools across the product lifecycle.

In person

Venue:
Amgen, Cambridge MA
360 Binney St. Cambridge, MA 02142 USA

Hotel Information: AIChE provides this list of local hotels available at market price, as a courtesy to meeting attendees:

Hotel name Address Telephone Walking Time
Boston Marriott Cambridge 50 Broadway, Cambridge, MA   02142 USA (617) 494-6600 10 minutes
Residence Inn by Marriott Boston Cambridge 120 Broadway, Cambridge, MA   02142 USA (617) 349-0700 7 minutes
Royal Sonesta Boston 40 Edwin H. Land Blvd. Cambridge MA 02142USA (617) 806-4200 20 minutes
Kimpton Marlowe Hotel 25 Edwin H. Land Blvd. Cambridge MA 02141 USA (617) 868-8000 20 Minutes
Holiday Inn  Express Boston-Cambridge 250 Monsignor O'Brien Pkwy. Cambridge MA 02141 USA (617) 577-7600 25 Minutes
Fairfield Inn by Marriott Boston-Cambridge 215 Monsignor O'Brien Pkwy. Cambridge MA 02141 USA (617) 621-1999 25 Minutes
Hampton Inn Boston-Cambridge 191 Monsignor O'Brien Pkwy. Cambridge MA 02141 USA (617) 494-5300 25 Minutes

Chair

Co-Chairs

Organizing Committee

  • Alejandro Crespo
    Amgen
  • Moiz Diwan
    Abbvie
  • Daniel Griffin
    Amgen
  • Pushkar Ghanekar
    Eli Lilly
  • Homa Homayoni
    Amgen
  • Maxwell Maritato
    Amgen
  • Matthew McDonald
    Drexel University
  • Chris Negron
    Abbvie
  • Abhishek Pandey
    Abbvie
  • Kelly Perry
    Vertex
  • Jack Prior
    Sanofi
  • Ana Luiza Pinta Queroz
    APC
  • Francois Ricard
    Lonza
  • Pablo Rolandi
    Amgen
  • Nina Taherimakhsousi
    Mettler-Toledo
  • Shekhar Krishna Viswanath
    Eli Lilly
  • X.X. Zhu
    Amgen

Topics

  • Data-driven models, machine learning

  • Mechanistic modeling, hybrid modeling

  • Process control, process design

  • Applications from R&D to Regulatory

  • Technology development, M&S benefits and challenges