Aaron Berk
Machine Learning Research Scientist at Deep Render
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolAaron Berk is a machine learning research scientist based in London with 11 years of experience building fast, robust algorithms for image and data processing and inference. He specializes in the mathematics of deep-learning-based signal processing and has implemented substantial production-quality code (10k+ lines) in PyTorch as well as solutions in R, Matlab, Python and Java. His background spans academic research—PhD in Applied Mathematics and a postdoc at McGill—where he developed mathematical models of biological and geophysical phenomena and worked on convex methods, PDEs on graphs and high-dimensional probability. Aaron has industry experience applying deep learning to inverse problems at Mitsubishi and currently advances ML research at Deep Render. Beyond code and theory, he has hands-on experience designing data pipelines for real-world sensors and has organized/ta’d multiple workshops, reflecting strong communication and teaching chops. Colleagues describe him as someone who bridges rigorous mathematical theory with pragmatic, well-engineered implementations.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Science (B.Sc.), Mathematics and Statistics, Bachelor of Science (B.Sc.), Mathematics and Statistics at McMaster UniversityPHSDoctor of Philosophy (Ph.D.), Applied Mathematics, Doctor of Philosophy (Ph.D.), Applied Mathematics at The University of British ColumbiaMaster's Degree, Mathematics, Master's Degree, Mathematics at University of Toronto
English, French
Github Skills (55)
data-analysis10
python10
data-science10
statistics10
machine-learning10
tensorboard10
huggingface10
scikit-learn10
computer-vision9
summarization9
visualization9
python-development9
pytorch9
algorithms9
textrank9
Programming languages (5)
Github contributions (5)
asberk/aaronberk.ca
Mar 2017 - Jun 2023
Contributions:196 pushes, 2 branches in 6 years 3 months
bcdataca/workshop2017
Mar 2017 - May 2018
Contributions:1 PR, 152 pushes, 3 branches in 1 year 2 months
pythonsciencedata-scienceworkshopiam
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