Summary
Matthias Hüser is a Senior Data Scientist with a decade of experience at the intersection of machine learning, optimization and biomedical informatics, currently applying his expertise at TriNetX. He holds a Dr. sc. from ETH Zürich and a strong engineering foundation from Imperial College London, combining academic rigor with production-focused skills in software performance, SIMD/x86 vectorization, parallel computing and GPU acceleration. His domain experience spans intensive care, neuro-ICU and oncology, where he builds ML and statistical solutions informed by operations research and biomedical signal processing. Notably, he blends deep systems-level performance engineering with clinical data science—an unusual mix that lets him optimize models not just for accuracy but for throughput and deployment efficiency. Based in Basel, he has moved seamlessly from PhD research to industry programs like Novartis’ AI4Life, demonstrating an ability to translate advanced methods into real-world healthcare impact.
10 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering (BEng), Computing, 1st class honours, Bachelor of Engineering (BEng), Computing, 1st class honours at Imperial College London
Doctor of Sciences (Dr. sc. ETH Zürich), D-INFK, Doctor of Sciences (Dr. sc. ETH Zürich), D-INFK at ETH Zürich
Master of Science (MSc), Computer Science, GPA: 5.52/6.00, Master of Science (MSc), Computer Science, GPA: 5.52/6.00 at ETH Zurich
German Abitur, Special subjects: German Mathematics Chemistry Geography, Average grade: 1.0, German Abitur, Special subjects: German Mathematics Chemistry Geography, Average grade: 1.0 at German School Tokyo Yokohama
English, German, French