Industrializing QSP: Using Generative AI to accelerate the Model Life Cycle

Before co-founding Applied BioMath, Josh was a Principal Scientist in the Systems Biology Group of the Department of Immunology and Inflammation at Boehringer Ingelheim Pharmaceuticals. His work leveraged physics-based models to: translate in vitro and in vivo data, assess target feasibility, understand drug mechanism of action, and predict human doses. The ultimate goal of this work was to reduce late stage attrition in drug development through a deep and quantitative interrogation of drug pharmacology and disease pathophysiology. Josh received his PhD from MIT in Biological Engineering where he worked on experiment design for Systems Biology, focusing on the identification of tractable experiments that could allow for the estimation of unknown parameters and reveal complex mechanisms in signal transduction networks. Before that Josh worked at Avaki to develop a highly scalable software platform to support High Performance Computing, and Enterprise Information Integration in the Life Sciences, and Engineering.

Sean McGee is currently the Director of Product at Certara, working within the Certara artificial intelligence (AI) group. Throughout his career, Mr. McGee has supported the strategy and go-to-market motions of various software technologies, including Benchling’s laboratory informatics platform and the AI and molecular modeling and simulation offerings for Dassault Systèmes BIOVIA brand. In his role with Certara, Mr. McGee guides the development of new AI-focused use cases which maximize the benefits of the Certara AI and broader company portfolio. Mr. McGee completed his Master of Science at the University of Notre Dame exploring the scientific and commercial applications of medical devices designed to aid in the identification of child abuse.