Publications

Doctoratesupervised by Prof Cyrille Dunant, University of Cambridge

• Hierarchical enumeration of factory configurations from reaction pathways, James Walsh, Cyrille Dunant, Computers & Chemical Engineering, Volume 213, October 2026, 109753, https://doi.org/10.1016/j.compchemeng.2026.109753.

Trillium Technologies & Frontier Development Labled by James Parr, funded by NASA and ESA

• Reasoning With a Star: A Heliophysics Dataset and Benchmark for Agentic Scientific Reasoning, Kevin Lee, Russell Spiewak, James Walsh, Machine Learning and the Physical Sciences Workshop, NeurIPS 2025.
• An Agentic Orchestration System for Heliophysics Tasks, Russell Spiewak, Kevin Lee, James Walsh, The Reach and Limits of AI for Scientific Discovery Workshop, NeurIPS 2025.
• Zero-Shot Satellite Image Retrieval through Joint Embeddings: Application to Crisis Response, James Walsh, William Fawcett, Grace Colvard, Raúl Ramos-Pollán, doi:10.56272/a2c9ee39, 2025.
• A Foundation Model for the Solar Dynamics Observatory, James Walsh, Daniel G. Gass, Raul Ramos Pollan, Paul J. Wright, Richard Galvez, Noah Kasmanoff, Jason Naradowsky, Anne Spalding, James Parr, Atılım Güneş Baydin, arXiv:2410.02530, Oct 2024.
• High-Cadence Thermospheric Density Estimation enabled by Machine Learning on Solar Imagery, Shreshth A Malik*, James Walsh*, Giacomo Acciarini, Thomas E. Berger, Atilim Gunes Baydin. Machine Learning and the Physical Sciences Workshop, NeurIPS 2023.
• Incorporating Direct EUV Irradiance from Solar Images into Thermospheric Density Modelling with Machine Learning, Thomas E. Berger, Shreshth Malik, James Walsh, Giacomo Acciarini, Atılım Güneş Baydin, AGU Fall Meeting 2023, NG12A-05.

Warwick Machine Learning Groupsupervised by Prof Theodoros Damoulas, placed at The Alan Turing Institute

• Near Real-Time Social Distancing in London, James Walsh, Oluwafunmilola Kesa, Andrew Wang, Mihai Ilas, Patrick O’Hara, Neil Dhir, Theodoros Damoulas, The Computer Journal, Volume 67, Issue 1, January 2024, Pages 95–109, https://doi.org/10.1093/comjnl/bxac160.
• Project Odysseus, James Walsh, Patrick O’Hara, Chance Haycock, Edward Thorpe-Woords, Oluwafunmilola Kesa, Andrew Wang, Mihai Ilas, James Brandreth, Oscar Giles, Neil Dhir, Theodoros Damoulas, Computing Insight UK 2020.
• An Expectation-Based Network Scan Statistic for a COVID-19 Early Warning System, Chance Haycock, Edward Thorpe-Woods, James Walsh, Patrick O’Hara, Oscar Giles, Neil Dhir, Theodoros Damoulas, Workshop on Machine Learning in Public Health, NeurIPS 2020.

Awards

• Winner of The Computer Journal’s Wilkes Award for Best Annual Paper, 2024 (link)
• Letter of Commendation for Master of Research, 2022
• Won CIUK Student Poster Competition, 2020
• Winner of Outstanding Contribution to University Life, The Cambridge Student Union, 2024 (link, not an academic award, just proud of it)

Highlighted Talks

• Enumerate, don’t commit: Hierarchical process synthesis for the energy transition. Girton College Engineers Symposium, May 16, 2026, Cambridge, UK.
• Building a foundation model using Solar Dynamics Observatory data: SDO-FM. NASA SMD Software Workshop, May 7-9, 2024, Washington, DC.
• Spanning Chemical Plants​ - Are there potential improvements in plant design?​ FIBE Conference, November 29, 2023, Cambridge, UK. ​