Henning Lange
Applied Scientist at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolHenning Lange is an applied scientist and PostDoc-turned-Applied Scientist in Seattle with 12 years of research and industry experience applying series expansions and fast summation algorithms to machine learning, computer vision, and graphics. He developed a long-term forecasting method leveraging Fourier series and Koopman theory and now focuses on Fast Taylor Transforms that can potentially cut training and inference costs by 150–200x versus neural networks. Combining a PhD from Carnegie Mellon and a strong ML/math background from Aalto and Osnabrück, he bridges rigorous theory with practical systems work at Amazon and UW. An engaging communicator, he’s discussed his research on podcasts and videos and is actively seeking Research Scientist roles.
12 years of coding experience
1 year of employment as a software developer
Semester aborad, Artificial Intelligence, Semester aborad, Artificial Intelligence at University of AmsterdamBachelor's Degree, Cognitive Science, with distinction, Bachelor's Degree, Cognitive Science, with distinction at Universität OsnabrückMaster's Degree, Machine Learning & Data Mining, Master's Degree, Machine Learning & Data Mining at Aalto UniversitySemester abroad, Cognitive Science, Semester abroad, Cognitive Science at New Bulgarian University, SofiaDoctor of Philosophy - PhD, Advanced Infrastructure Systems, Doctor of Philosophy - PhD, Advanced Infrastructure Systems at Carnegie Mellon University
Github Skills (33)
gmm10
resampling9
spectral9
python9
machine-learning9
deep-learning9
automatic-differentiation8
tensorflow8
pytorch8
neural-network8
signal-processing8
data-science8
autodiff7
gpu7
composable7
Programming languages (5)
Github contributions (5)
helange23/from_fourier_to_koopman
Oct 2019 - Feb 2021
Linear and non-linear spectral forecasting algorithms
Contributions:34 commits, 1 PR, 19 pushes in 1 year 4 months
forecastingmachine-learninglinearnon-lineargmm
helange23/varbolt
May 2017 - Jan 2021
Contributions:1 push, 1 branch, 1 comment in 3 years 9 months
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