Pablo Rolandi is the Director of Advanced Modeling & Simulation in Digital Integration & Predictive Technologies (DIPT). The team, based at Amgen Massachusetts, seeks to develop, deploy, utilize and sustain rigorous mathematical models based on first principles and mechanistic approaches, with applications across drug substance, drug product, medical devices, and manufacturing, in a modality-agnostic way (synthetics and biologics). His research interests span applied computational modeling techniques driving the convergence between modeling and experimentation, first-principles and machine-learning modeling techniques, and augmented human- and machine-driven decision making.
Before joining Amgen in 2016, Rolandi held various positions at Process Systems Enterprise Ltd, a company based in London, UK, that provides modeling software and consulting services to the chemical process industries and the biopharmaceutical sector. His expertise is in the domain of applied scientific computing, computational thinking and process systems engineering. His interests span digital transformation imperatives, including digitalization/virtualization and digital twins, and as well as leadership, management, and the convergence of disciplines.
Rolandi obtained his Ph.D. (Process Systems Engineering sub-field) at the University of Sydney (Australia) and a B.Eng. degree from Universidad Nacional de Mar del Plata (Argentina), both in Chemical Engineering. He also holds a MSc in Digital Biology from the University of Manchester (UK).
Mechanistic model of pH and excipient concentration during ultrafiltration and diafiltration processes of therapeutic antibodies. JE Ladwig, XX Zhu, P Rolandi, R Hart, J Robinson, A Rydholm. Biotechnology Progress, 2020. https://aiche.onlinelibrary.wiley.com/doi/full/10.1002/btpr.2993
A Virtual Plant for Integrated Continuous Manufacturing of a Carfilzomib Drug Substance Intermediate, Part 1: CDI-Promoted Amide Bond Formation. E Içten, AJ Maloney, MG Beaver, DE Shen, X Zhu, LR Graham, JA Robinson, S Huggins, A Allian, R Hart, SD Walker, P Rolandi, R Braatz. Organic Process Research & Development. 2020. https://pubs.acs.org/doi/abs/10.1021/acs.oprd.0c00187
The Unreasonable Effectiveness of Equations: Advanced Modeling For Biopharmaceutical Process Development. PA Rolandi. Computer Aided Chemical Engineering 47, 137-150, 2019. https://www.sciencedirect.com/science/article/pii/B9780128185971500230
A framework for on-line full optimising control of chemical processes. PA Rolandi, JA Romagnoli. Computer aided chemical engineering 20, 1315-1320, 2005. https://www.sciencedirect.com/science/article/pii/S1570794605800616
MSc., Digital Biology, University of Manchester- UK
Marie Curie Postdoctoral Fellowship, Process Systems Enterprise Ltd- UK
Ph.D., Chemical Engineering, University of Sydney
B.Eng., Chemical Engineering, Universidad Nacional de Mar del Plata- Argentina