Aaron Voelker
President at Voelker Block Consulting Inc.
Waterloo, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolAaron Voelker is an interdisciplinary AI researcher and engineering leader with 12 years of experience co-designing hardware, software, and algorithms for power- and latency-efficient neural networks. As President of Voelker Block Consulting and former Head of R&D at Applied Brain Research, he has filed multiple patents and led deployments across CPUs, GPUs, MCUs, FPGAs, ASICs, and neuromorphic hardware. His PhD-level background in computer science, combinatorics, optimization and theoretical neuroscience informs a uncommon focus on end-to-end optimization—minimizing error, latency, memory, and energy simultaneously. An active contributor to brain-modeling open source (notably enhancements to the widely used Nengo simulator), he blends rigorous theory with production-grade implementation. Based in Waterloo, Canada, he partners with global teams to translate nonlinear dynamical systems and spike-based processing ideas into practical, scalable AI solutions.
12 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD, 96% GPA, Doctor of Philosophy - PhD, 96% GPA at University of Waterloo
Stackoverflow
779reputation
239kreached
4answers
1question
numpy
top-5%
Github Skills (16)
neural-network10
python10
numpy10
testing9
data-structure7
data-structures7
algorithm7
algorithms7
control-theory6
maintenance-mode6
side-effects6
nginx6
operator-overloading6
floating-point6
state-space6
Programming languages (10)
Github contributions (5)
nengo/nengo
Feb 2014 - Aug 2020
A Python library for creating and simulating large-scale brain models
Role in this project:
Back-end Developer
Back-end DeveloperContributions:5 reviews, 67 commits, 31 PRs in 6 years 7 months
Contributions summary:Aaron implemented connection slicing and other related features within the Nengo library, which is a Python library for building brain models. They also made Node dimensions mandatory and added tests for the new functionalities. Further contributions included removing unnecessary code parts, refactoring the builder class, and improving the test infrastructure.
brainpython-libraryneurosciencepythondeep-learning
arvoelke/Dixit
Feb 2014 - Jul 2020
Fan-created server for the board game Dixit
Contributions:3 releases, 1 review, 28 commits in 6 years 6 months
board-gameboardcard-gamedixit
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