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AI x Climate Resilience @alan-turing-institute
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Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
alan-turing-institute
Data Scientist
June 19, 2026 – Present
deepsensor
May 16, 2023 – Present
A Python package for tackling diverse environmental prediction tasks with NPs.
View Projecticenet
January 19, 2022 – Present
The icenet library is a pip installable python package containing the commands and code you need to produce forecasts
View Projecticenet-roadmap
June 16, 2021 – February 12, 2024
Central repository for the Turing-British Antarctic Survey IceNet Project
View Projecteds-book
June 7, 2021 – Present
A computational notebook community for open environmental data science 🌎
View Projectmf_modelling
November 7, 2020 – March 8, 2023
Multifidelity Climate Modelling (Practical for "ML and the Physical World" module)
View ProjectconvCNPClimate
July 30, 2020 – April 8, 2021
Implementation of convolutional conditional neural processes for statistical downscaling
View Projectasli
December 20, 2019 – Present
Amundsen Sea Low detection from mean sea level pressure fields
View Projectget-station-data
February 28, 2017 – October 31, 2023
Easily grab weather station data from around the globe (e.g. GHCN)
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated in environmental data science and climate modeling, indicating a strong passion and expertise in this niche. While this demonstrates deep engagement, it also suggests a potentially narrow focus. The current role as 'Data Scientist' at 'alan-turing-institute' aligns well with a research-oriented data science culture. However, the lack of diversity in project domains might limit adaptability to broader data science challenges outside of environmental science.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.