The mentors, students, and collaborators I've had the privilege to work with across computational chemistry, AI, and materials science.
University of Nottingham, UK
Leading research in AI interpretability for chemical systems and data provenance in ML modelling; co-developing ML explainability methods for biomaterials design.
University of Nottingham, UK
Working together on machine learning models for predicting catalyst behaviour and ligand optimisation in asymmetric catalysis.
University of Nottingham, UK
Collaborating on AI-based systems for chemical reaction optimisation using graph neural networks.
University of Nottingham, UK
Summer 2026 research student working on the open-source ML tool Helix. Co-supervised with Prof. Grazziela Figueredo.
University of Nottingham, UK
Summer 2026 research student who worked on uncertainty estimation of machine learning models for enantioselectivity prediction. Co-supervised with Prof. Simon Woodward.
University of Nottingham, UK
Summer 2026 research student working on the open-source ML tool Helix. Co-supervised with Prof. Grazziela Figueredo.
University of Nottingham, UK
Summer 2024 research student who contributed to graph neural network approaches for data checking in asymmetric-catalysis literature. Co-supervised with Prof. Simon Woodward.
MSc students co-supervised on deep-learning projects in the chemical sciences — 2024 with Prof. Simon Woodward; 2023 with Dr. Grazziela Figueredo and Dr. Kristaps Ermanis.
University of Nottingham, UK
MSc student (2024) working on machine-learning approaches for the chemical sciences.
University of Nottingham, UK
MSc student (2024) working on machine-learning approaches for the chemical sciences.
University of Nottingham, UK
MSc student (2024) working on machine-learning approaches for the chemical sciences.
University of Nottingham, UK
MSc student (2023) working on a deep-learning project in the chemical sciences. Co-supervised with Dr. Grazziela Figueredo and Dr. Kristaps Ermanis.
University of Nottingham, UK
Collaborated on data-driven approaches for optimising enantioselectivity in rhodium-catalysed asymmetric 1,4-additions.
University College Dublin, Ireland
Collaborated on describing chiral ligands and in silico substrate screening in palladium-catalysed decarboxylative asymmetric allylic alkylation.
University College Dublin, Ireland
Collaborated on describing chiral ligands and in silico substrate screening in palladium-catalysed decarboxylative asymmetric allylic alkylation.
Universidad de Costa Rica, Costa Rica
Collaborated on explainable GNNs for structure–property relationships in interstitial-alloy materials.
Universidad de Costa Rica, Costa Rica
Collaborated on explainable GNNs for structure–property relationships in interstitial-alloy materials.
Universidad de Costa Rica, Costa Rica
Collaborated on predicting physical-chemical profiles of bioactive compounds and cheminformatics tool development.