Lukas Balles is a Senior Research Scientist with 11 years of experience at the intersection of machine learning research and applied engineering, currently working on optimization and large-scale ML systems. He holds a PhD candidacy at the Max Planck Institute for Intelligent Systems and has contributed to continual learning, model monitoring, and parameter-efficient fine-tuning during roles at AWS and Aleph Alpha. Lukas combines deep mathematical training (BSc in Mathematics, MSc in Scientific Computing, visiting at Tsinghua) with hands-on product-oriented research, having interned at Google Brain and built medical imaging and risk-modeling solutions earlier in his career. He is pragmatic about moving research into production and is open to R&D opportunities; a less-obvious strength is his track record of bridging rigorous optimization theory with scalable implementation across both academia and industry.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy Machine Learning, Doctor of Philosophy Machine Learning at International Max Planck Research School for Intelligent Systems (IMPRS-IS)
Master of Science (MSc) Scientific Computing, Master of Science (MSc) Scientific Computing at Heidelberg University
Visiting Student Mathematics and Computer Science, Visiting Student Mathematics and Computer Science at Tsinghua University
Contributions:28 commits, 13 pushes, 1 branch in 8 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Lukas Balles - Senior Research Scientist at Bioptimus