Fellow Detail

Photo of Jesper Sören Dramsch
Name Jesper Sören Dramsch
Affiliation ECMWF
Research area code (I4) Artificial intelligence
Fellowship Inauguration Year 2022
Website http://dramsch.net
ORCID 0000-0001-8273-905X
GitHub https://github.com/JesperDramsch/
Twitter jesperdramsch
LinkedIn https://www.linkedin.com/in/mlds/

Reproducibility for Machine Learning in the Sciences, Physics, Programming, Gaming, Board games, Climbing

Short Biography

Jesper Dramsch works at the intersection of machine learning and physical, real-world data. Currently, they're working as a scientist for machine learning in numerical weather prediction at the coordinated organisation ECMWF.

Before, Jesper has worked on applied exploratory machine learning problems, e.g. satellites and Lidar imaging on trains, and defended a PhD in machine learning for geoscience. During the PhD, Jesper wrote multiple publications and often presented at workshops and conferences, eventually holding keynote presentations on the future of machine learning.

Moreover, they worked as consultant machine learning and Python educator in international companies and the UK government. Their courses on Skillshare have been watched over 25 days by over 2000 students. Additionally, they create educational notebooks on Kaggle, reaching rank 81 worldwide.

Previous events

Title Start date End date
Pydata Global 2022 Workshop: Real-world Perspectives to Avoid the Worst Mistakes using Machine Learning in Science Friday, 02 December 2022 Friday, 02 December 2022
Euroscipy Tutorial Monday, 29 August 2022 Friday, 02 September 2022

Blog Posts

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