Martin Friedl is a Senior R&D Materials Engineer with 14 years of hands-on experience in nanofabrication, ultra-high vacuum systems, and III-V and oxide epitaxy, holding a PhD in Materials Science from EPFL. He currently leads materials development and process automation for novel oxide-on-silicon platforms at Lumiphase, having previously conducted quantum nanoelectronics research and MBE growth at EPFL. Martin combines deep experimental expertise—ranging from MBE and SEM to mechanical testing for aerospace—with practical coding skills in Python and automation that bridge lab-scale research to scalable production. He is actively transitioning those quantitative and data-driven instincts toward applied machine learning and data science, bringing a rare mix of cleanroom intuition and software fluency. Colleagues would note his track record of documenting and automating complex workflows to reduce variability—an approach born from both academic rigor and industry engineering.
14 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering (B.Eng), Engineering Physics, 11.60/12.00, Bachelor of Engineering (B.Eng), Engineering Physics, 11.60/12.00 at Carleton University
Master of Science (M.S), Materials Engineering, 5.70/6.00, Master of Science (M.S), Materials Engineering, 5.70/6.00 at EPFL (École polytechnique fédérale de Lausanne)
High School Diploma, 87.4%, High School Diploma, 87.4% at Sir Robert Borden High School
Contributions:4 commits, 4 pushes in 1 year 11 months
microstructure
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