Simon D.A. Thomas
Papers
https://orcid.org/0000-0001-7911-1659https://scholar.google.com/citations?user=kKonjBYAAAAJ
Web of Science ResearcherID: ABE-8823-2021
Letters collected so far
BA MSc MRes MA (Cantab)
Summary
I am a PhD student at the University of Cambridge at the Department of Applied Mathematics and Theoretical Physics. I am funded through @ai4er-cdt MRes+PhD program.
My thesis `Optimally Emulating a Hurricane Storm Surge Model for Risk Estimation and Sensitivity Analysis’ is based on emulating a realistic storm surge model (ADCIRC+SWAN).
I studied Natural Sciences (Physics, BA+MSc) at the University of Cambridge.
Projects that I am currently involved in
- Using sensitivity analysis on simplified global physical models to understand CMIP biases in the tropics.
- Looking at the return periods of storm surges produced by tropical cyclones in climate models.
My primary academic supervisor is Dr. Dan Jones of the British Antarctic Survey.
Feel free to get in touch. My email address is ${my github handle} at cam dot ac dot uk .
Funding
I am supported by studentship 2413578 from the UKRI Centre for Doctoral Training in Application of Artificial Intelligence to the study of Environmental Risks (grant no. EP/S022961/1). I have also received funding from the NERC ACSIS project (grant no. NE/N018028/1), and a Natural Environment Research Council (NERC) Research Experience Placement (REP) project funded by the SPITFIRE Doctoral Training Partnership (grant no. NE/S007210/1).
Reviews
I have reviewed articles for:
- Journal of Physical Oceanography (JPO) (x1)
- Journal of Advances in Modeling Earth Systems (JAMES) (x1)
I have reviewed abstracts for:
- Climate Informatics 2024 (x2)
Past projects
- Risk Management Solutions (UK) Ltd.: Deep Learning for extreme wind superresolution/downscaling
- Detecting fronts in the Southern Ocean using different algorithms.
- Detecting habitat fragmentation using ML algorithms on earth observation products.