Publications

  • 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.
  • 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. November 2023 Machine Learning and the Physical Sciences Workshop, NeurIPS 2023.
  • 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, In 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

  • Building a foundation model (FM) using Solar Dynamics Observatory (SDO) 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. ​