Daniel Tait

Applied AI at Mistral

United Kingdom
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Summary

👤
Senior
🎓
Top School
Daniel Tait is a Senior Data Scientist with nine years of experience at the intersection of statistics and machine learning, currently applying his expertise at C3 AI. He specializes in integrating prior scientific and domain knowledge with flexible, high-performance ML models to improve interpretability and predictive power. His background includes a PhD in Statistics from the University of Edinburgh, a postdoc at the University of Warwick, and a visiting research role at the Alan Turing Institute. At Clear Dynamics he translated research ideas into practical AI solutions, bridging academic rigor with industry-ready systems. Daniel’s work reflects a rare combination of formal statistical training and hands-on AI research, enabling principled solutions for complex real-world problems. Based in the UK, he brings both deep theory and applied engineering to data-driven decision making.
code10 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at The University of Edinburgh
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Github Skills (10)

jit8
gpu8
jax8
tpu6
neural-network5
gaussian4
julia2
gaussian-processes2
differential-equations1
ordinary-differential-equations1

Programming languages (3)

CSSJupyter NotebookPython

Github contributions (5)

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danieljtait/tenfem

Jun 2020 - Jul 2020

Contributions:217 commits, 112 pushes, 7 branches in 24 days
Contributions:211 pushes, 2 branches in 3 years 9 months
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