Ben is a PhD student in the Computational Optimisation Group at Imperial College London, focusing on probabilistic machine learning for dynamic systems (initially Neural ODEs) with downstream applications to chemical experiment design - including small molecule synthesis and small-scale biomanufacturing - in collaboration with Merck & Co. He is passionate about accelerating scientific discovery through data-driven and physics-driven computational models. He holds an MSc in Chemistry from the University of York, which included a year of research in the University of Sydney’s quantum computing lab.
Interests
- AI for science
- Simulating nature
- Quantum Computing
- Economics & investing
- Venture capital
- Various sports
Publications
V. C. Olaya-Agudelo*, B. Stewart*, et al. Simulating open-system molecular dynamics on analog quantum computers (2025), Physical Review Research 7(2), 23215, 10.1103/PhysRevResearch.7.023215, (*equal contribution).
P. B. Karadakov, B. Stewart, D. L. Cooper. Magnetic Shielding Analysis of Bonding in [1.1.1]Propellane (2023), The Journal of Physical Chemistry A 127(4), 861–869, 10.1021/acs.jpca.2c06450.
Education
University of Sydney | Sydney, NSW, Australia
MSc Research Placement | 2022 – 2023
University of York | York, UK
MSc (Integrated) in Chemistry | 2019 – 2023
