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Peyman Z. Moghadam is an Associate Professor in Data Driven Materials Engineering at University College London. His research focuses on the study of novel adsorbent materials for gas adsorption and separation applications. He leads collaboration with the Cambridge Crystallographic Data Centre (CCDC) to classify and create databases of various types of crystalline porous materials, including a publicly-available repository for metal-organic frameworks (MOFs) that have been synthesized to date. Dr. Moghadam employs data science, machine learning, and molecular-level simulation to discover new MOF adsorbents for capturing CO2 and toxic chemicals, as well as for energy storage applications like hydrogen and natural gas. His expertise includes the development of data analytics and visualization tools for digital manufacturing using the Industrial Internet of Things (IIoT). His strong portfolio showcases advancements in Digital Twins, Advanced Data Visualizations, and Machine Learning across a wide range of applications, including mRNA-based vaccine manufacturing, pharmaceutical tablet production, and steel industries.
University College London, Department of Chemical Engineering • London, United Kingdom
Senior Research Associate at University of Cambridge, Chemical Engineering Biology
Northwestern University, Chemical Biological Engineering • Chicago, United States