Daniel Mayer
Senior Analysis Engineer at Tesla
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolDaniel Mayer is a senior analysis engineer with nine years of experience applying deep learning, multi-physics simulation, and adjoint-based optimization to accelerate product development and improve performance. He has led cross-functional R&D at Bosch Research and now drives battery pack modeling and optimization at Tesla, combining HPC-enabled CFD work with neural-net integrations and APIs that bridge commercial engineering tools and ML models. His work uniquely spans physics-based reaction kinetics (including dramatic speedups like 100x in combustion models) and data-driven surrogates used in deployable design workflows, with contributions to SU2 and open-source projects. Fluent in German and English and experienced in patent development and mentoring, he thrives in international teams and enjoys turning complex multiphysics problems into production-ready solutions.
9 years of coding experience
8 years of employment as a software developer
PhD Candidate, Computational Engineering Sciences, Faculty of Mechanical Engineering, PhD Candidate, Computational Engineering Sciences, Faculty of Mechanical Engineering at RWTH Aachen University
Github Skills (30)
sandbox9
slack-api9
extraction9
blockchain9
malware9
ethereum9
p2p8
reverse-engineering8
go8
payload8
blueteam8
workspace8
golang8
enumeration7
slack7
Programming languages (8)
Github contributions (5)
MayerDaniel/staticsite
Jun 2022 - Mar 2025
Contributions:58 pushes, 1 branch, 1 comment in 2 years 10 months
MayerDaniel/blog
May 2018 - Sep 2021
source for mayerdaniel.github.com
Contributions:11 pushes, 1 branch in 3 years 5 months
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