Alexander Mathiasen
Founder at Stealth Startup
Stony Stratford, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAlexander Mathiasen is a founder and research-driven machine learning engineer with 10 years' experience bridging academic breakthroughs and product-focused engineering. He completed a PhD at Aarhus University with ICML/NeurIPS results and continued that work as a Research Scientist at Graphcore, where he built hardware-accelerated quantum chemistry workloads for IPUs and presented at NeurIPS. More recently he held senior ML roles at CHARM Therapeutics before founding a stealth startup in 2024, demonstrating a shift from deep research to commercialization. Based in the UK, he combines strong theoretical grounding in deep learning and boosting with practical experience optimizing ML on novel hardware—a blend that helps turn complex scientific models into deployable systems. An early bioinformatics background and a history of competition wins hint at a knack for applied problem solving across domains.
11 years of coding experience
3 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at Aarhus University
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (77)
python10
toolbox10
gpu10
numpy9
neural-network9
gnn9
deep-learning9
machine-learning9
tensor8
gpu-acceleration8
benchmark8
protein-structure8
drug-discovery8
ipu8
pose-estimation8
Programming languages (5)
Github contributions (5)
AlexanderMath/machine-learning-teaching-material
Oct 2017 - Jun 2020
Contributions:84 commits, 77 pushes, 1 branch in 2 years 7 months
AlexanderMath/fasth
Jun 2020 - Oct 2021
Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
Contributions:30 commits, 23 pushes, 1 branch in 1 year 3 months
neural-network
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