Modeling, Computation, and Data Analytics in Process Development | AIChE

The rapid growth in computer science led us to extract valuable information from large data sets to solve complex problems of today’s as well as help us design next generation materials and optimize chemical processes. The integration of computational tools into the process development world allows us to refine our understanding with the added benefit of reducing the time required to reach solutions.  This session will showcase how the utilization of diverse computational tools become indispensable for the future of chemical and pharmaceutical industries.

View Pathable Virtual Platform Here

Session Chairs:

  • Pelin Hacarlioglu, Chemours
  • Onkar Manjrekar, AbbVie

Schedule:

Time Presentation Speaker
9:00am - 9:25am Computational-Aided Pharmaceutical Process Development in the Era of a Global Pandemic Carla Luciani, Eli Lilly
9:25am - 9:50am Virtual Process Development using Modeling & Simulation: Some Examples Glenn Longwell, Siemens
9:50am - 10:05am M-Star Sponsored Talk John Thomas, M-Star
10:05am - 10:30am Population Balance Modeling to Predict Particle Size Distribution Upon Scale-up of a Combined Antisolvent and Cooling Crystallization Tamar Rosenbaum, Bristol-Myers Squib