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

Robotic data management for trustworthy AI: A perspective from the perovskite semiconductor community
CM Sutter-Fella, M Ahmadi, C Brabec, T Buonassisi, ML Evans, DP Fenning, M Götte, T Jesper Jacobsson, H Neelgund Ramesh, C Tamura, E Unger, C Yang, H Zhao, Y Zhou, S Sun
(2026)
optimade-maker: automated generation of interoperable materials APIs from static datasets
K Eimre, ML Evans, B Macaulay, X Wang, J Yu, N Marzari, G-M Rignanese, G Pizzi
Digit Discov
(2026)
5
datalab: Federated data management infrastructure for materials chemistry and beyond
ML Evans, JD Bocarsly, B Charmes, BE Smith, G-M Rignanese, D Waroquiers, CP Grey
(2026)
optimade-maker: Automated generation of interoperable materials APIs from static datasets
K Eimre, ML Evans, B Macaulay, X Wang, J Yu, N Marzari, G-M Rignanese, G Pizzi
(2026)
32 examples of LLM applications in materials science and chemistry: towards automation, assistants, agents, and accelerated scientific discovery
Y Zimmermann, A Bazgir, A Al-Feghali, M Ansari, J Bocarsly, LC Brinson, Y Chiang, D Circi, M-H Chiu, N Daelman, ML Evans, AS Gangan, J George, H Harb, G Khalighinejad, S Takrim Khan, S Klawohn, M Lederbauer, S Mahjoubi, B Mohr, S Mohamad Moosavi, A Naik, A Beste Ozhan, D Plessers, A Roy, F Schöppach, P Schwaller, C Terboven, K Ueltzen, Y Wu, S Zhu, J Janssen, C Li, I Foster, B Blaiszik
Machine Learning: Science and Technology
(2025)
6
Datatractor: Metadata, automation, and registries for extractor interoperability in the chemical and materials sciences
ML Evans, G-M Rignanese, D Elbert, P Kraus
MRS Bulletin
(2025)
50
Cross-disciplinary perspectives on the potential for artificial intelligence across chemistry.
AM Mroz, AR Basford, F Hastedt, IS Jayasekera, I Mosquera-Lois, R Sedgwick, PJ Ballester, JD Bocarsly, E Antonio Del Río Chanona, ML Evans, JM Frost, AM Ganose, RL Greenaway, K Kuok Mimi Hii, Y Li, R Misener, A Walsh, D Zhang, KE Jelfs
Chem Soc Rev
(2025)
54
Accelerating the discovery of high-performance nonlinear optical materials using active learning and high-throughput screening
V Trinquet, ML Evans, G-M Rignanese
(2025)
Discovering synthesis targets: general discussion
AS Anker, A Aspuru-Guzik, T Bechtel, F Bigi, KR Briling, B Das, N David, GM Day, VL Deringer, M Dyer, A Eardley-Brunt, ML Evans, R Evans, BA Franklin, AM Ganose, J George, M Goulding, N Hickey, G James, AV Kalikadien, V Kapil, HJ Kulik, V Kumar, C Kuttner, E Lam, M Lederbauer, Y Lou, J Martin, A Marulanda Bran, M Mathea, CJ Pickard, B Ruscic, MR Ryder, V Sabanza Gil, P Schwaller, MHS Segler, W Sun, S Tanovic, W Treyde, A Walsh, R Wu
Faraday discussions
(2025)
256
Discovering trends in big data: general discussion.
RV Albornoz, D Antypov, G Blanke, I Borges, A Marulanda Bran, J Cheung, CM Collins, N David, GM Day, VL Deringer, C Draxl, A Eardley-Brunt, ML Evans, I Fairlamb, K Fieseler, BA Franklin, J George, J Grundy, J Johal, AV Kalikadien, V Kapil, L Kotopanov, V Kumar, C Kuttner, M Lederbauer, AC Ojeda-Porras, J Pang, M Parkes, M Pemberton, B Ruscic, MR Ryder, K Sakaushi, G Saleh, BM Savoie, P Schwaller, BB Skjelstad, W Sun, T Taniguchi, CR Taylor, S Torrisi, S Vishnoi, A Walsh, R Wu
Faraday Discuss
(2025)
256

Research Group

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