Mark Hannel
Senior Applied Scientist II at Etsy
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMark Hannel is a Senior Applied Scientist with 13 years of experience applying physics, mathematics, and computer vision to large-scale machine learning problems. He has led production-ready remote sensing projects that produced the world’s first global 10-meter land use and land cover maps and operationalized models on Azure with MLflow, Batch, and Blob storage. At Impact Observatory he improved regional accuracy through active learning and trained segmentation models on six-band satellite imagery to exceed 85% overall accuracy, and he now brings that applied ML expertise to Etsy. His background as a NYU physics PhD who replaced heuristic image pipelines with CNNs and 1000x faster estimators gives him uncommon depth in both research and engineering. He excels at turning complex geospatial science into scalable, impactful products and often bridges domain science, model development, and cloud deployment.
13 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Physics, Doctor of Philosophy (PhD), Physics at New York UniversityBachelor of Science (B.S.), Physics, Bachelor of Science (B.S.), Physics at Purdue University
Stackoverflow
777reputation
147kreached
34answers
0questions
Github Skills (27)
python10
jupyter10
statistics10
inline10
jupyterlab10
jupyterlab-extension10
data-science9
pytorch9
scikit9
machine-learning9
scikit-learn9
data-analysis9
jupyter-widget9
open-source7
knn6
Programming languages (4)
Github contributions (5)
markhannel/lorenzmie
May 2013 - Sep 2018
code base for analyzing inline holographic images of colloidal spheres
Contributions:177 commits, 10 PRs, 154 pushes in 5 years 5 months
analyzingholographicspheresinlinebase-code
markhannel/scikit-learn
Sep 2018 - Jun 2020
scikit-learn: machine learning in Python
Contributions:2 PRs, 2 pushes, 1 branch in 1 year 8 months
pythondata-sciencelearn-machine-learningmachine-learningscikit-learn
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