Alan Jeffares
AI Scientist at Mistral AI
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAlan Jeffares is an AI scientist with eight years of experience bridging academic research and industry-scale ML, currently focused on pretraining at Mistral AI. He holds a PhD in Machine Learning from the University of Cambridge and has research experience from Microsoft Research and Cambridge, combined with applied analytics roles at Accenture where he delivered demand-forecasting and routing optimisations. Alan’s background in statistics (1st class BSc) and an MSc in Machine Learning underpin a rigorous, data-driven approach to model development and evaluation. He has hands-on experience with longitudinal and sensing datasets and a track record of moving ideas from research prototypes to production-informed analytics. Notably, his career blends elite academic training with practical deployment experience, positioning him to translate cutting-edge pretraining techniques into robust products.
8 years of coding experience
Leaving Certificate, Leaving Certificate at Clongowes Wood CollegeDoctor of Philosophy - PhD, Machine Learning, Doctor of Philosophy - PhD, Machine Learning at University of CambridgeBachelor of Science (BSc), Statistics, 1st Class Honours, Bachelor of Science (BSc), Statistics, 1st Class Honours at University College DublinUniversity College London
Github Skills (37)
statistical-learning10
espn10
points10
csv-reader10
python9
player9
csv9
jekyll8
markdown8
machine-learning7
jekyll-theme7
syntax-highlighting7
regularizer7
computer-vision7
html6
Programming languages (5)
Github contributions (5)
alanjeffares/data-science-nanodegree
Sep 2019 - Mar 2021
My complete solutions to the four projects undertaken as part of the Udacity Data Science nanodegree
Contributions:43 commits, 1 PR, 38 pushes in 1 year 6 months
data-science
alanjeffares/elements-of-statistical-learning
Mar 2019 - May 2020
Documenting my progress as I work through The Elements of Statistical Learning book by T. Hastie, R. Tibshirani, and J. Friedman
Contributions:126 commits, 124 pushes, 1 branch in 1 year 2 months
statistical-learning
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