Summary
Lukas Mericle is a Senior Machine Learning Research Engineer with nine years of experience applying statistical and ML methods to complex, real-world systems across industry and research. Trained in applied physics and complex adaptive systems (UCSC, Chalmers), he specializes in adaptive nonlinear control, robotics, and resource-management problems, and currently applies ML to wireless communications and location tracking at Apple. He has a track record of shipping end-to-end ML solutions—from prototype architectures in PyTorch/JAX to production ETL that accelerated time-series access by 3000x—and has led small technical teams and cross-functional projects. Comfortable working internationally, he blends systems-science thinking and applied physics intuition to tackle interdisciplinary challenges and has contributed linked-data and Industry 4.0 expertise in supply-chain contexts.
8 years of coding experience
6 years of employment as a software developer
Bachelor's of Science, Applied Physics, Bachelor's of Science, Applied Physics at UCSC
Master's of Science, Complex Adaptive Systems, 3.67/4.00, Master's of Science, Complex Adaptive Systems, 3.67/4.00 at Chalmers University of Technology
Bishop O'Dowd
English, German