Armin Thomas
Co-Founder at Radical Numerics
Germany
Summary
🤩
Rockstar🎓
Top SchoolArmin Thomas is a machine learning founder and researcher with eight years of experience building AI systems end-to-end—from training large genomic and long‑context foundation models to shipping ultra‑efficient on‑device LLMs. As Co‑Founder of Radical Numerics and formerly Senior ML Scientist at Liquid AI, he led automated architecture search (STAR) and delivered Hyena Edge, a convolutional multi‑hybrid LLM optimized for edge latency and memory. His background spans top research labs (Stanford, Caltech, Max Planck) where he developed neuroscience- and biology-focused foundation models (e.g., Evo), long‑sequence convolutional alternatives to attention, and methods that integrate insights from neuronal plasticity into deep networks. Comfortable bridging rigorous research and product engineering, he combines a DSc in AI with practical experience training models at scale and shipping resource-constrained inference—often swapping assumptions common in NLP for biologically inspired, convolutional approaches.
8 years of coding experience
7 years of employment as a software developer
Master of Science (MSc) Cognitive Neuroscience, Master of Science (MSc) Cognitive Neuroscience at Freie Universität BerlinDoctor of Science (DSc) Artificial Intelligence and Machine Learning, Doctor of Science (DSc) Artificial Intelligence and Machine Learning at Technische Universität Berlin
English, German
Github Skills (10)
accumulator10
weighted10
toolbox8
nlp6
deep-learning6
machine-learning6
python6
pytorch5
neural-network4
llm3
Programming languages (2)
Github contributions (5)
athms/xai-brain-decoding-benchmark
May 2022 - Jun 2022
Contributions:73 commits, 171 pushes, 2 branches in 20 days
athms/deep-learning-basics
Nov 2020 - Oct 2021
A reproducible introductory course on the basics of deep learning.
Contributions:85 commits, 44 pushes in 10 months
pytorchdeep-learningmachine-learningreproducibleintroductory
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