Erik Kruus
Research Staff Member at NEC Laboratories America
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolErik Kruus is a Research Staff Member with over two decades of experience building mathematically driven software across machine learning, data deduplication, compression, real-time spectroscopic acquisition, and molecular simulation. He blends deep academic training (Ph.D. in Chemistry) and a decade as a university professor with industry-grade engineering, having implemented a zero-bug core deduplication algorithm and ported MKL-DNN APIs to a custom vector processor. His ML work spans action recognition, protein design, and physics-based modeling, often focused on low-dimensional representations and layer-level optimizations for performance. Erik repeatedly applies rigorous quantum and statistical methods to practical software problems, producing robust, high-performance systems for sensing and computational chemistry. Based in New Jersey, he is equally comfortable in research labs and production engineering environments, translating complex mathematics into reliable, deployable code. A less obvious strength is his track record of moving niche, high-precision instrumentation workflows into real-time, distributed systems.
10 years of coding experience
Ph.D., Chemistry, Ph.D., Chemistry at Carleton UniversityBS, Chemical Physics, BS, Chemical Physics at University of Toronto
Stackoverflow
31reputation
10kreached
1answer
0questions
Github Skills (12)
user-guide9
intel9
cpu9
xmake8
emulation8
minimum-spanning-tree6
jit6
viewer5
tsne5
machine-vision4
data-visualization3
webgl3
Programming languages (2)
Github contributions (4)
rupea/LabelFilters
Dec 2015 - Apr 2016
Contributions:83 commits in 3 months
necla-ml/gen-dnn
Apr 2017 - Sep 2020
A port of Intel(R) MKL-DNN for a non-JIT chip (NEC SX)
Contributions:517 commits in 3 years 6 months
cpujituser-guideintelchip
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