Alex Golts
Researcher at IBM
Haifa District, Israel
Summary
👤
Senior🎓
Top SchoolAlex Golts is a researcher and machine learning engineer with a decade of experience applying classical and deep learning techniques to challenging computer vision problems, currently at IBM. He has a strong track record in designing convolutional neural networks—notably using the Caffe framework—and solving practical issues like limited training data and low-quality imagery. Prior roles include staff ML engineering at KIOXIA and long-term computer vision research and algorithm development at Rafael, underpinned by electro-optics experience in the IDF. Alex holds dual B.Sc. degrees in Physics and Electrical & Electronics Engineering and an M.Sc. in Electrical Engineering from Technion, reflecting a rigorous quantitative foundation. He shares insights through a technical blog on deep learning (epoch.ch), signaling a commitment to knowledge sharing beyond his research duties. Colleagues can rely on him for pragmatic, research-driven solutions that bridge academic rigor with real-world deployment constraints.
10 years of coding experience
13 years of employment as a software developer
Master of Science (M.Sc.), Electrical and Electronics Engineering, 91, Master of Science (M.Sc.), Electrical and Electronics Engineering, 91 at Technion - Israel Institute of TechnologyBachelor of Science (B.Sc.), Physics, Bachelor of Science (B.Sc.), Physics at Tel Aviv University
English, Hebrew, Russian
Github Skills (57)
pytorch10
fuse10
code-reuse10
siggraph10
discovery10
medical-imaging10
medical10
collaboration10
python9
machine-learning9
ai9
deep-learning9
3d-reconstruction9
ppi8
3d-models8
Programming languages (5)
Github contributions (5)
alex-golts/fuse-med-ml
Nov 2021 - Jul 2022
FuseMedML is an open-source python-based framework designed to enhance collaboration and accelerate discoveries in Fused Medical data through advanced Machine Learning technologies. Initial version is PyTorch-based and focuses on deep learning on medical imaging and digital pathology.
Contributions:16 PRs, 122 pushes, 15 branches in 8 months
pythoncollaborationimagingfusemedmlfused
alex-golts/Pytorch-3D-R2N2
Apr 2018 - Nov 2022
A pytorch implementation of the paper "3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction" by Choy et al.
Contributions:1 review, 62 commits, 8 PRs in 4 years 7 months
pytorchreconstruction3d-modelsmulti-viewapproach
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