Lars Quaedvlieg
Member Of Technical Staff at Jump Trading
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolLars Quaedvlieg is an AI researcher and Member of Technical Staff at Jump Trading with eight years of experience across industry research roles, including a Research Scientist internship at Meta FAIR. He holds an MSc in Data Science from EPFL (recipient of the EPFL Excellence Fellowship) and has driven applied research in foundation models, state-space models, and offline reinforcement learning—building 7B+ parameter LLMs for mathematics and pre-training transformers on billion-transition RL datasets. His work at InstaDeep and EPFL produced production-scale pipelines and SOTA gains on Atari benchmarks, highlighting a rare blend of large-scale engineering and theoretical rigor. Based in London, he pairs deep technical contributions with hands-on system-building and a persistent focus on long-context problems (200k+ tokens), while balancing research with endurance sports and outdoor pursuits.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Science - BSc Data Science and Artificial Intelligence, Bachelor of Science - BSc Data Science and Artificial Intelligence at Maastricht UniversityMaster of Science - MSc Data Science, Master of Science - MSc Data Science at EPFLPropedeuse (Cum Laude) HBO-ICT, Propedeuse (Cum Laude) HBO-ICT at Zuyd University of Applied Sciences
English, Dutch, German, French
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
transformers1
machine-learning1
gpt1
jax1
sampler1
informatica1
ecosystem1
haiku1
Programming languages (3)
Github contributions (5)
lars-quaedvlieg/Reinforcement-Learning-Book
Oct 2020 - Dec 2021
Contributions:1 release, 18 commits, 16 pushes in 1 year 2 months
lars-quaedvlieg/lars-quaedvlieg.github.io
Nov 2022 - Feb 2025
Contributions:116 pushes, 2 branches in 2 years 3 months
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