Robert Lange
Founding Research Scientist at Sakana AI
Berlin, Germany
Summary
🤩
Rockstar🎓
Top SchoolRobert Lange is a founding research scientist building nature-inspired methods for the foundation model era at Sakana AI, with nine years of experience at the intersection of ML, neuroscience, and collective intelligence. He holds advanced degrees from TU Berlin, Imperial College and Barcelona GSE and completed research stints at Google DeepMind where he explored leveraging LLMs for evolutionary optimization. His work spans evolutionary algorithms (contributing ARS, OpenES, CMA-ES and iAMaLGaM wrappers to the notable google/evojax repo), multi-agent systems and brain-inspired computational models. Comfortable moving between prototype engineering and rigorous research, he has interned and collaborated across top labs (DeepMind, Einstein Center) and published tooling and benchmarks that bridge evosax APIs and practical optimization workflows. Based in Berlin, he combines theoretical depth from a PhD path with hands-on open-source contributions and a knack for translating biology-inspired ideas into scalable ML experiments. An uncommon thread through his career is applying economic and neuroscientific quantitative training to design collective and evolutionary learning systems.
9 years of coding experience
6 years of employment as a software developer
Master of Science (M.Sc.), Computing (Machine Learning), with Distinction, Master of Science (M.Sc.), Computing (Machine Learning), with Distinction at Imperial College LondonMaster of Science (M.Sc.), Data Science, 9.04, Master of Science (M.Sc.), Data Science, 9.04 at Barcelona Graduate School of EconomicsBachelor of Science (B.Sc.), Economics, 1.4, Bachelor of Science (B.Sc.), Economics, 1.4 at Universität zu KölnDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Technische Universität BerlinLondon School of Economics and Political Science
Github Skills (4)
jax10
machine-learning10
reinforcement-learning10
python10
Programming languages (4)
Github contributions (5)
google/evojax
Feb 2022 - Dec 2022
Role in this project:
ML Engineer
ML EngineerContributions:27 commits, 7 PRs, 4 comments in 10 months
Contributions summary:Robert contributed to the `evojax` repository by adding wrappers for the evosax library, specifically focusing on Augmented Random Search (ARS), OpenES, CMA-ES and iAMaLGaM algorithms. These additions involved integrating the evosax implementations, including changes related to fitness shaping and best parameter retrieval. Additionally, the user updated the code to align with API changes within the `evosax` library and added benchmark scripts.
RobertTLange/evosax
Dec 2020 - Dec 2022
Evolution Strategies in JAX 🦎
Contributions:17 releases, 7 reviews, 198 commits in 2 years
deep-learningevolution-strategiesevolutionjax
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