Alexander 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.
10 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
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
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