About Me
I am a Hedrick Math Fellow at UCLA. My research is in statistics and machine learning with applications to quantitative finance. I was a PhD student on the Statistics and Machine Learning (StatML) Center for Doctoral Training between Imperial College London and the University of Oxford. Prior to my PhD, I studied mathematical physics at the University of Edinburgh and the University of California, Berkeley. I also worked as an Applications Developer at Edinburgh Parallel Computing Centre.
Interests
- Statistics and Machine Learning
- Time Series
- Networks
- Quantitative Finance
- Spectral Methods
- Factor Models
Education
PhD Statistics and Machine Learning
Imperial College London and The University of Oxford
MPhys Mathematical Physics
The University of Edinburgh
Year Abroad
The University of California, Berkeley
Recent Publications
(2026).
The LIRA–Ising Model: Estimating the Boundaries of Irregularly Shaped X-Ray Sources.
The Astrophysical Journal.
(2025).
Factor-Driven Network Informed Restricted Vector Autoregression.
ICAIF ’25.