Matthew Dixon
AI Consultant at Quiota
Los Angeles, California, United States
Summary
👤
Senior🎓
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 (15)
arxiv10
factor9
volatility8
local-network8
pytorch6
deep-learning6
fundamental6
machine-learning5
neural-network4
tensorflow4
sampling4
classification3
julia3
time-series2
javascript2
Programming languages (3)
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/GP-CVA
Oct 2018 - Oct 2019
Contributions:26 commits, 22 pushes, 1 branch in 1 year
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