Sam is a Research Fellow at the Institute for Data and AI (IDAI). His research focuses on AI implementation, data exploration and interdisciplinary support. He has broad experience in machine learning, computational biology and software development; system modelling, computer vision, unsupervised/semi supervised learning, pipeline development and result analysis. As an IDAI Research Fellow, he helps to shape research priorities and supports data-intensive research proposals across the University.
Sam has a background in interdisciplinary computer science and AI, primarily in the context of computation and analysis of complex biological systems, human or otherwise. His focus now is on supporting various groups and projects around the University of Birmingham.
Sam has post-doctoral experience working with small local groups (E.coli resistance 2019, Informatics support QEHB 2020) and large multi-site projects (Acute Myloid Lukemia 2021-2023, environmental toxicology 2023-2026) to support research. Sam has experience with abstract pattern-oriented modelling of systems and more concrete data ingestion and analysis. Sam believes that understanding where data comes from is a powerful driver for interpretation and understanding
He joined IDAI at the University of Birmingham in 2025.