Marco Willi
Research Associate Machine Learning & Data Science
Vienna, Austria
Summary
👤
Senior🎓
Top SchoolMarco Willi is a Research Associate in Machine Learning & Data Science with over a decade of hands-on experience applying ML across industrial processes, finance, biology, cryptography and cybersecurity. He combines academic rigor from ETH Zürich and the University of Minnesota with practical production experience at UBS and research labs, and currently teaches computer vision and machine learning while supervising student theses. Comfortable across Python, R, PyTorch, HPC, Docker and cloud environments, he bridges research and deployment—advising, planning and implementing solutions that fit domain constraints. A knack for translating complex models into teachable material and reproducible workflows makes him equally effective as an educator and practitioner.
10 years of coding experience
8 years of employment as a software developer
Master’s Degree, Master’s Degree at ETH ZürichUniversity of Minnesota Twin Cities
English, German
Github Skills (22)
camera10
trap10
python9
zoneminder9
machine-learning9
deep-learning9
computer-vision9
tensorflow8
neural-network8
image-processing8
data-science7
deep-neural-networks7
science5
ml5
ecology4
Programming languages (3)
Github contributions (5)
marco-willi/camera-trap-classifier-publication-code
Aug 2018 - Dec 2019
Code used in the study: Identifying Animal Species in Camera Trap Images using Deep Learning and Citizen Science
Contributions:2 releases, 2 PRs, 15 pushes in 1 year 4 months
sciencedeep-learningcameracomputer-visioncamera-trap
marco-willi/camera-trap-classifier
Mar 2018 - May 2019
Automatically identify animals in camera trap images by training a deep neural network.
Contributions:4 releases, 477 commits, 26 PRs in 1 year 2 months
pythondeep-learningcameradeep-neural-networkcomputer-vision
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