Data Analytics for Pharmaceutical Process Optimization

Nima Yazdanpanah is a consultant on advanced manufacturing and modeling and simulation in Bio/pharmaceutical and fine chemical industries. His area of expertise covers mathematical modeling, process simulation, particulate matters, process design, and advanced manufacturing. Prior to starting his consultancy firm (Procegence), Nima was a research scientist with US Food and Drug Administration. He was appointed as a member of an expert team for advancement of emerging technologies to modernize pharmaceutical manufacturing.Nima was a postdoctoral research associate at MIT, Department of Chemical Engineering, and Novartis-MIT Center for Continuous Manufacturing. He received his PhD from The University of Sydney, Australia. He has worked for six years in industry for R&D and process design sections. He has a diverse background in industry, academia, and government. Nima has received multiple national and international awards. He has published numerous journal papers and book chapters, holds two patent applications, is the editor of the Handbook of Continuous Crystallization. Nima leads the Next-Gen Manufacturing initiative of AIChE, is Focus Area leader of Pharmaceutical Manufacturing and Public Health of RAPID Manufacturing Institute and is a board member of Advanced Manufacturing Society. He serves on several review panels and advisory committees.

• Part I -Application of mathematical tools in drug discovery and chemistry developmentPart II -Application of mathematical tools in process development, scale-up, and Tech-transferPart III -Application of mathematical tools in manufacturing and process optimizationPart IV -Application of mathematical tools in enterprise level, supply chain, technoeconomic optimizationPart V -Application of mathematical tools in product performance evaluationPart VI -New tools development and emerging technologies, such as high-performance computation, industrial internet of things, and artificial intelligence