The advancement of pharmaceutical manufacturing depends heavily on the research taking place in areas such as continuous manufacturing, automation, machine learning, and AI. The maturation of these technologies will foster improved process optimization, accelerate the development of medicines, and make manufacturing more efficient and reliable.

This is the second part of our conversation with Thomas Roper, PhD, co-director of pharmaceutical engineering at Virginia Commonwealth University’s Center for Pharmaceutical Engineering and Sciences and graduate program director for chemical and life science engineering. Roper discusses how graduate students in his research group have helped advance technologies ranging from computational fluid dynamics and process analytical technology to machine learning applications for process optimization. He also shares why he views AI as a powerful tool, not a replacement for people, and how it’s preparing the next generation of scientists and engineers.