Felix Held is a research scientist with 11 years of quantitative experience and a PhD in Applied Mathematical Statistics, now applying AI research at Saab Aeronautics. He specializes in statistical and dynamical modeling, from Bayesian and frequentist estimation to scalable joint matrix factorization for integrative biomedical data, with a strong track record in PK/PD time-series and brain cancer studies. An experienced lecturer and mentor who has chaired a doctoral student council, he combines clear communication with persistence in driving projects to completion. Equally comfortable in deep independent analysis and collaborative, interdisciplinary teams, he writes production-ready implementations and software packages to translate methods into usable tools. Based in Stockholm, he brings a rare mix of theoretical rigor, practical algorithm engineering, and domain experience bridging academia and industry.
11 years of coding experience
4 years of employment as a software developer
Master Studies in Mathematics, Master Studies in Mathematics at The Julius Maximilians University of Würzburg
Doctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at University of Gothenburg
Licentiate degree Advanced Engineering Mathematics, Licentiate degree Advanced Engineering Mathematics at Chalmers University of Technology
Collected code and materials from the intensive course preparing for the workshop on Sequential Monte Carlo (SMC) methods at Uppsala University, August 2017
Contributions:41 commits, 3 PRs, 36 pushes in 1 year 1 month
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