Daniel Justus
Research Lead at Graphcore
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolDaniel Justus is a Research Lead at Graphcore with eight years of experience translating mathematical rigor into practical advances in machine learning and data science. Trained as a mathematician with a PhD in neuroscience, he specializes in improving computational efficiency for language models and graph neural networks, bridging theory and hardware-aware model design. His career spans research roles and startup-facing data science engineering, giving him a strong sense for productization and the startup ecosystem. Based in Munich, he combines deep academic training with hands-on experience developing more efficient ML models at Graphcore since 2019 and leading research efforts since 2023. Colleagues describe him as someone who enjoys tackling the most fascinating, computation-heavy problems—often finding elegant mathematical shortcuts that reduce runtime without sacrificing accuracy.
8 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS, Mathematics, Bachelor of Science - BS, Mathematics at Bielefeld UniversityMaster of Science - MS, Mathematics, Master of Science - MS, Mathematics at Technische Universität BerlinDoctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at The University of Bonn
Github Skills (28)
execution-time8
predict8
ipu7
analytical6
modeling-tool6
modeling5
knowledge-graph5
deep-learning5
machine-learning5
performance-analysis4
python4
tensorflow4
ai3
levenshtein3
matching3
Programming languages (2)
Github contributions (5)
CDECatapult/ml-performance-prediction
Nov 2018 - Dec 2018
Contributions:29 commits, 1 push in 24 days
danjust/MLbenchmark
Dec 2017 - Jan 2019
Contributions:126 pushes, 1 branch in 1 year 1 month
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