Matthew Ikle
Chief Science Officer at PureCipher
Colorado, United States
Summary
👤
Senior🎓
Top SchoolMatthew Ikle is a Chief Science Officer and longtime AI researcher with over two decades bridging academic mathematics and production AI, currently leading science at SingularityNET while serving as Chief AI Scientist at PureCipher. He combines deep theoretical expertise—PhD-level mathematics, nonlinear dynamics, probabilistic logic networks and causality—with hands-on software engineering across Java, C/C++, Python and symbolic tools like Mathematica and Matlab. His career blends faculty roles and industrial R&D, from developing Indefinite Probabilities for OpenCog to building market-prediction and search algorithms, evidencing a rare fluency in both formal models and applied systems. Based in Colorado, he is known for tackling complex system dynamics and AGI‑scale architectures, often translating abstract mathematical ideas into scalable, distributed implementations. An understated strength is his sustained focus on measuring weight-of-evidence and evolving large-scale cognitive systems—work that underpins several commercial and open research projects.
11 years of coding experience
7 years of employment as a software developer
Ph. D. MA Mathematics, Ph. D. MA Mathematics at University of Wisconsin-MadisonBA Mathematics, BA Mathematics at Reed CollegeAlbuquerque Academy
German, English
Github Skills (16)
unsupervised-learning10
robot-controller9
robotics9
unsupervised-machine-learning9
natural-language-understanding8
interoperability7
dsl7
machine-learning6
artificial-general-intelligence6
artificial-intelligence6
reinforcement-learning6
agi6
deep-learning5
pytorch1
allocation1
Programming languages (4)
Github contributions (5)
moikle/Phi
Oct 2018 - May 2022
Contributions:21 pushes, 1 branch in 3 years 7 months
moikle/ai-dsl
Jul 2021 - Oct 2022
Artificial Intelligence Domain Specific Language (AI-DSL) to enable autonomous interoperability between AI services.
Contributions:6 pushes, 1 branch in 1 year 3 months
autonomousdeep-learningreinforcement-learningdslartificial
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