Process Analytics Engineer
Send a job offer directly to this candidate
Rajib Mukherjee, PhD is a Process Analytics Engineer at Bristol Myers Squibb (BMS). Prior to joining BMS, he worked as Assistant Professor in the Department of Chemical Engineering at The University of Texas Permian Basin (UTPB). He has held research positions including Assistant Research Engineer at the Gas and Fuels Research Center, Texas A&M Engineering Experiment Station, Research Associate at Texas A&M Energy Institute, Visiting Assistant Professor, Department of Mechanical Engineering at Texas A&M University, ORISE Postdoctoral Research Fellow at US Environmental Protection Agency (US EPA), Postdoctoral Research Associate at Center for Computational Science, Tulane University (CCS, Tulane), and Project Engineer at National Metallurgical Laboratory, India (NML, India).
He has a doctorate in Chemical Engineering, graduated from the Process Systems Engineering Laboratory at Louisiana State University, Department of Chemical Engineering. His present work includes (a) developing multivariate statistical models for real time process monitoring (upstream and downstream); (b) process variability analysis using chemometrics; (c) developing algorithm for digital twin of chemical process for real time operations and control using advanced machine learning algorithms including deep learning. He has over fifteen years of experience in first principle based and data driven modeling, statistical algorithm development, stochastic optimization algorithm development with uncertain variables, application of machine learning algorithms for design, real time monitoring and control of chemical process systems.
Bristol Myers Squibb, Devens, MA (Feb 2022 - Present)
Process Analytics Engineer at Manufacturing Science & Technology
Assistant Professor: Department of Chemical Engineering
Research Associate, Texas A&M Energy Institute
Research Engineer, Center for Uncertain Systems: Tools for Optimization and Management (VRI-CUSTOM)
ORISE postdoctoral research fellow at Office of Research and Development/National Risk Management Research Lab (NRMRL), Sustainable Technology Division.
Postdoctoral research associate of Louisiana Alliance for Simulation-Guided Materials Applications (LASiGMA) at the Center for Computational Science (CCS), Tulane University.
Dissertation from Process Systems Engineering Laboratory, Department of Chemical Engineering.
