Matthew Dixon
Founder Trusted Agentic AI & Enterprise Intelligence at Quiota LLC
Pasadena, California, United States
Summary
🤩
Rockstar🎓
Top SchoolMatthew Dixon is an AI consultant and applied mathematician with 12 years of professional experience and a 20-year background in predictive modeling, blending academic rigor with startup and enterprise delivery. He has held tenured and faculty roles directing fintech and analytics programs while founding and scaling a Series A Web3 payments startup that integrated a Solana-based settlement network across 90,000+ US retail locations. His work spans quantitative risk at major financial institutions, high-performance simulation on GPUs, and practical machine learning applications funded by Intel, Dell, NASA JPL and NSF. Comfortable moving models from research to production, he has built C++ and C# risk systems, Monte Carlo engines, and blockchain-enabled payments infrastructure. Based in Los Angeles, he combines deep mathematical training (PhD, Imperial College; postdoc, Stanford) with entrepreneurial grit and a rare ability to evaluate qualitative data and visualize predictive signals for real-world decision-making. An award-winning expert, he uniquely bridges defense- and finance-grade simulation methods with commercial AI solutions.
12 years of coding experience
19 years of employment as a software developer
PhD, Applied Mathematics, PhD, Applied Mathematics at Imperial College LondonMSc, Parallel and Scientific Computing, MSc, Parallel and Scientific Computing at University of ReadingPostdoctorate, Computational Math & Engineering, Postdoctorate, Computational Math & Engineering at Stanford University
French, German
Github Skills (13)
factor10
arxiv9
machine-learning9
deep-q-learning8
fundamental8
pytorch7
deep-learning6
neural-network4
sampling4
classification3
julia3
javascript2
time-series1
Programming languages (4)
Github contributions (5)
mfrdixon/Deep_Fundamental_Factors
Jul 2020 - Jul 2022
Source code for Deep Fundamental Factor Models, https://arxiv.org/abs/1903.07677
Contributions:12 commits, 11 pushes, 1 branch in 2 years
pytorcharxivabsdeep-learningfactor
mfrdixon/Intel
Jan 2017 - Dec 2018
Contributions:19 commits, 21 pushes, 1 branch in 1 year 10 months
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