Dr. Russell Miller is a Higher Scientist at the National Physical Laboratory (NPL). He holds a PhD in Chemical Engineering from the University of Strathclyde, where he worked at the EPSRC Continuous Manufacturing & Advanced Crystallisation (CMAC) Future Manufacturing Research Hub. At NPL, he focuses on data assurance strategies for autonomous vehicles and data quality improvement. His research aims to enhance the reliability, trustworthiness, and integrity of data within the autonomous vehicle domain.
Mr Harvey Whelan was a Sandwich Placement Student at the Informatics Group from the Data Science Department of the National Physical Laboratory between July 2023 and August 2024. He has since returned to the University of Bath to complete his Natural Sciences (Physics with Chemistry) studies, and he hopes to graduate with a BSc in 2025.
Michael Chrubasik is a Senior Scientist in NPL's Informatics Group within the Data Science department. Following his 2019 PhD in Pharmaceutical & Biomedical Sciences at the University of Strathclyde, Michael transitioned into informatics and has since led projects in semantic technologies, data engineering, and process modelling. His portfolio spans pharmaceutical and digital manufacturing sectors, where he has successfully implemented data management strategies, ontology engineering solutions, and data validation frameworks. Currently, Michael is driving innovation projects in the Pharmaceutical Manufacturing sector, focusing on the application and implementation of FAIR principles to manufacturing process data, as well as on the development of smart process models. He applies his unique blend of domain knowledge and semantic technology expertise to address complex challenges in data interoperability and management.
Dr David Whittaker is a Higher Scientist in the Data Science Department of the National Physical Laboratory, UK. He was awarded a PhD in Physics from the University of York in 2008, and his current research interests include the application of machine learning to real-world issues in engineering and manufacturing.
Dr Paul Duncan is a Principal Scientist in the NPL Data Science department and the Science Area Leaders for the Informatics group. Paul joined NPL in 2017 after completing a MMath degree in Mathematics and a PhD in chemical & Process Engineering, both at the University of Strathclyde. His research interests include developing data quality frameworks, statistical physics, data modelling and representation, and uncertainty evaluation, as well as mathematical, statistical, and molecular modelling. He is currently working across a range of Informatics projects, specialising in how to represent and understand the uncertainty of information present in complex networks.
João Gregório received his PhD in Chemical and Process Engineering from the University of Strathclyde in 2023 by investigating polymerisation network structures near solid surfaces using molecular dynamics. Prior to that, he worked as Data Scientist at SpaceLayer Technologies (2017–2018) developing machine learning models for forecasting air pollution. In 2021, he moved to the Data Science Department of the National Physical Laboratory as a Higher Scientist. His current research topics mainly include data quality, digital manufacturing, and digitalisation.
