Michael Fauss
Research Scientist, Data Science
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolMichael Fauss is a research scientist and data scientist with a decade of experience applying Bayesian and frequentist methods to signal processing and robust sequential inference. He holds a summa cum laude PhD in Electrical Engineering and Information Theory and has advanced landmine detection, relay-channel communications, and robust AI research through postdoctoral roles at Technische Universität Darmstadt and Princeton. Currently leading research in the Responsible Use of AI at ETS while collaborating with Princeton ECE, he blends rigorous theoretical work with practical, safety-focused applications. Proficient in Python, MATLAB, and R, he specializes in statistical signal processing, machine learning, and scientific computing for high-stakes domains. Colleagues value his ability to translate dense mathematical ideas into reproducible code and experimental systems. Based in New Jersey, he combines deep academic credentials with an uncommon focus on robustness and real-world deployment constraints.
10 years of coding experience
3 years of employment as a software developer
Technischen Universität DarmstadtDiploma (M.Sc. equiv.), Electrical Engineering and Information Technology, Diploma (M.Sc. equiv.), Electrical Engineering and Information Technology at Technical University of Munich
German, English
Github Skills (6)
julia4
interval-arithmetic4
floating-point3
math3
root-finding2
interpolation2
Programming languages (2)
Github contributions (5)
mifauss/Fisher_Information_Estimation
Mar 2020 - Dec 2020
Contributions:4 commits, 3 pushes, 1 branch in 9 months
mifauss/RobustDetection
Apr 2020 - Apr 2020
Contributions:42 pushes, 1 branch in 19 days
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