About
I'm a space scientist and ML researcher at the NASA Jet Propulsion Laboratory.
Background
I did my undergraduate in Computing with Business at Oxford Brookes Unversity, then spent a few years in industry; working at the NHS followed by the circuit board industry as a process and design engineer.
I came back to academia for an MSc in systems engineering with space systems at the UCL Mullard Space Science Laboratory (valedictorian, 2019), then a PhD in space physics, also at UCL (2020–2024). During my PhD I was a visiting scholar at Caltech, a research intern at NASA's Jet Propulsion Laboratory, and I received the 2023 Alan Johnstone Award for Outstanding Scientific Achievement. I also won 2x team achievement awards for my work on the CIRCE and Phoenix CubeSat missions.
Between the PhD and JPL I held a short postdoctoral position at the National Institute of Polar Research (国立極地研究所) in Japan, working on ML for auroral physics, magnetosphere-ionosphere coupling, and citizen-science observations.
Now
I'm a NASA Postdoctoral Program (NPP) Fellow at the Jet Propulsion Laboratory, building transformer-based emulators for ocean world characterization — most recently LEAP, a neural surrogate for multi-fluid MHD at Europa. I also study the evolution of the solar wind beyond 1 AU and the plasma conditions at Saturn's moon Enceladus.
I'm a science affiliate on the Europa Clipper mission and a co-founder of JPL's Model Understanding Surrogates and Emulators (MUSE) task force. I also serve on the AGU Space Physics Advocacy Committee and review for NeurIPS and JGR.
Interests
- Machine learning for scientific discovery
- AI co-scientists and agentic research workflows
- Neural surrogates and emulators for physics simulation
- Uncertainty quantification and validation in scientific ML
- Space plasmas, ocean worlds, magnetospheres, and the search for life in our universe.