Mark Hubenthal
Senior Applied Scientist at Amazon
Seattle, Washington, United States
Summary
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Senior🎓
Top SchoolMark Hubenthal is a Senior Applied Scientist at Amazon with 11 years of research and industry experience translating inverse problems and PDE-constrained optimization into production-grade machine learning solutions. He blends deep mathematical training (PhD in Mathematics) and a track record of postdoctoral research on wave fields, radiative transfer, and imaging with hands-on applied science roles at Amazon since 2017. Known for tackling computationally intensive problems, he has bridged academic rigor and engineering at scale—authoring patents and consulting on ML, big data, and parallel computing early in his career. Based in Seattle, he brings expertise in numerical methods, optimization, and scientific computing to applied ML challenges that require both theory and pragmatic system design. A less obvious strength is his long history of teaching and mentoring, which informs clear communication of complex technical ideas across teams.
11 years of coding experience
9 years of employment as a software developer
PhD, Mathematics, PhD, Mathematics at University of WashingtonBachelors, Mathematics, Physics, Bachelors, Mathematics, Physics at Whitman College
Chinese, Spanish, English
Stackoverflow
141reputation
22kreached
5answers
0questions
Github Skills (52)
gluon9
mxnet9
julia9
knn9
transfer-learning9
jupyter-notebook9
structured-data9
forecast8
computer-vision8
object-detection8
python8
automated-machine-learning8
deep-learning8
autogluon8
forecasting8
Programming languages (5)
Github contributions (5)
hubenjm/hubenjm.github.io
Mar 2015 - Jan 2022
Contributions:4 pushes in 6 years 11 months
hubenjm/mincostflow
Mar 2015 - Oct 2016
Contributions:16 commits, 15 pushes, 1 branch in 1 year 6 months
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