Dongda Zhang

Dr. Dongda Zhang is a University Lecturer in Process Systems Engineering and Machine Learning at the University of Manchester's Department of Chemical Engineering, with an Honorary Research Fellow position at Imperial College London. His research focuses on Digital Chemical Engineering, combining Process Systems Engineering, Machine Learning, Reaction Engineering, and Industrial Data Analytics. Key areas include hybrid model-based bioprocess predictive modeling, machine learning for quality control, and interpretable AI frameworks for reaction engineering.

Education: BSc (Tianjin University, 2011), MSc (Imperial College London, 2013), PhD (University of Cambridge, 2016). Awards include the Leverhulme Early Career Fellowship and Honorary Research Fellow recognition. He holds editorial roles for Digital Chemical Engineering and Biochemical Engineering Journal, and serves on the BBSRC Pool of Experts and CPACT Industrial Management Board.

Research emphasizes multidisciplinary approaches, including kinetic modeling of catalytic systems, real-time process monitoring, and data-driven strategies for biomanufacturing. His work contributes to UN Sustainable Development Goals related to affordable and clean energy and industry innovation. The group welcomes PhD students and interns, with fully sponsored programs.