Duncan Watson-parris
Assistant Professor at University of California San Diego
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolDuncan Watson-Parris is an atmospheric physicist and assistant professor at UC San Diego who leads the Climate Analytics Lab, applying machine learning to reduce uncertainty in aerosol–cloud interactions and their representation in climate models. With 13 years of experience spanning academic research, consultancy, and teaching, he blends theoretical physics training (PhD, Manchester) with practical data-science and mentorship roles across Oxford and industry. He teaches graduate ML and data-science courses, supervises early-career researchers, and has a track record of organizing international collaborations to translate complex process-level insights into model improvements. Known for combining rigorous physical understanding with modern ML methods, he also maintains an active public portfolio of his work at duncanwp.github.io.
13 years of coding experience
8 years of employment as a software developer
BSc, Theoretical and Computational Physics, 1st, BSc, Theoretical and Computational Physics, 1st at Cardiff University / Prifysgol CaerdyddPhD, Theoretical Physics, PhD, Theoretical Physics at The University of Manchester
French
Stackoverflow
850reputation
94kreached
23answers
4questions
Github Skills (164)
meteorology10
python10
forge10
loops10
datasets10
earth-science10
oceanography10
forecast10
netcdf10
emulation10
geostatistics10
pandas10
utm10
science10
atmospheric-modelling10
Programming languages (11)
Github contributions (5)
duncanwp/ClimateBench
Aug 2021 - Sep 2022
Contributions:1 release, 1 review, 32 commits in 1 year 1 month
climate-processes/poc-detection
Jan 2020 - Jul 2022
Contributions:1 release, 17 commits, 13 pushes in 2 years 6 months
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