Research Fellow
I am a Leverhulme Trust Early Career Research Fellow in the group of Professor Dame Clare Grey FRS in the Yusuf Hamied Department of Chemistry at the University of Cambridge. My research focuses on the development of the open source datalab platform and infrastructure for experimental data management in materials chemistry as a substrate for data- and AI-driven approaches to materials discovery and design.
Publications
32 examples of LLM applications in materials science and chemistry: towards automation, assistants, agents, and accelerated scientific discovery.
Machine Learning Science and Technology
(2025)
6
030701
(doi: 10.1088/2632-2153/ae011a)
Datatractor: Metadata, automation, and registries for extractor interoperability in the chemical and materials sciences
MRS Bulletin
(2025)
50
838
(doi: 10.1557/s43577-025-00925-8)
Cross-disciplinary perspectives on the potential for artificial intelligence across chemistry
Chemical Society reviews
(2025)
54
5433
(doi: 10.1039/d5cs00146c)
Accelerating the discovery of high-performance nonlinear optical materials using active learning and high-throughput screening
(2025)
Discovering synthesis targets: general discussion.
Faraday discussions
(2025)
256
639
(doi: 10.1039/d4fd90064b)
Discovering trends in big data: general discussion.
Faraday discussions
(2025)
256
520
(doi: 10.1039/d4fd90063d)
Discovering structure–property correlations: general discussion
Faraday Discuss
(2025)
256
373
(doi: 10.1039/d4fd90062f)
Optical materials discovery and design with federated databases and machine learning.
Faraday Discussions
(2025)
256
459
(doi: 10.1039/d4fd00092g)
Accelerating the discovery of high-performance nonlinear optical materials using active learning and high-throughput screening
Journal of Materials Chemistry C
(2025)
13
18197
(doi: 10.1039/d5tc01335f)
Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
(2024)
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