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Matthew Dixon Email & Phone Number

AI Consultant at Quiota
Location: Santa Monica, California, United States 12 work roles 4 schools
3 work emails found @iit.edu 4 phones found area 901 and 650 LinkedIn matched
✓ Verified May 2026 4 data sources Profile completeness 100%

Contact Signals · 3 work emails · 4 phones

Work email m****@iit.edu
Direct phone (901) ***-****
LinkedIn Profile matched
3 free lookups remaining · No credit card
Current company
Role
AI Consultant
Location
Santa Monica, California, United States

Who is Matthew Dixon? Overview

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Quick answer

Matthew Dixon is listed as AI Consultant at Quiota, based in Santa Monica, California, United States. AeroLeads shows a work email signal at iit.edu, phone signal with area code 901, 650, and a matched LinkedIn profile for Matthew Dixon.

Matthew Dixon previously worked as Professional songwriter and rock music at Goth Soul and Technical Co-Founder & Chief Risk Officer at Cfx Labs. Matthew Dixon holds Postdoctorate, Computational Math & Engineering from Stanford University.

Company email context

Email format at Quiota

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{first_initial}{last}@iit.edu
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AeroLeads found 3 current-domain work email signals for Matthew Dixon. Compare company email patterns before reaching out.

Profile bio

About Matthew Dixon

Professional rock musician. Former innovator in the area of statistical and mathematical algorithms with a software engineering background. Co-founder of CFX Labs. Author of a Machine Learning in Finance textbook and several Journal papers on algorithms and models for machine learning, blockchain based technologies. RISK Magazine's Buy-side Quant of the Year (2022). College of Computing Dean's Excellence in Research Award (Junior Professor level), 2021. Tenured Professor (currently on leave) and PI/Co-PI of research funding from Intel, Dell, NASA JPL, and NSF. Research featured in the Financial Times, Bloomberg Markets, Barron's Advisor.Member of the CFA NY Quant Investing Committee. Chartered Financial Risk Manager (FRM). Editorial Associate for the World Scientific Annual Review of FinTech and the AIMS Journal of Dynamics & Games. Google Summer of Code Mentor for the R Statistical Computing Project (2017). Chair of the IEEE/ACM Workshop on High Performance Computational Finance (2010-2015).

Listed skills include Monte Carlo Simulation, Quantitative Analytics, Quantitative Finance, Machine Learning, and 27 others.

Current workplace

Matthew Dixon's current company

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Quiota
Quiota
AI Consultant
Los Angeles, CA, US
Website
AeroLeads page
12 roles

Matthew Dixon work experience

A career timeline built from the work history available for this profile.

Ai Consultant

Los Angeles, CA, US

Professional Songwriter And Rock Music

Current
Goth Soul

I write and perform alternative rock songs in the style of 80s postpunk and 70s progressive rock and work with producers who have produced music for top artists such as David Bowie, The Cure, Marilyn Manson, Erasure, & Depeche Mode.

Feb 2024 - Present

Technical Co-Founder & Chief Risk Officer

Chicago, IL, US

Co-founder and head of risk for a venture capital backed Forbes top 20 Chicago Web3 startup. Licensed as a US money transmission provider, MoveMoney.com - our global payments app - is built using our own Solana blockchain based global settlement network and is integrated across 90,000 + major retailer locations in the US.

Feb 2021 - Jan 2024

Associate Professor Of Applied Mathematics

Chicago, Illinois, US

Tenured appointment. Director of the MAS in Fintech covering disruptive technologies in fintech such as blockchain and AI. Affiliate Professor in the Stuart Business School. Research on machine learning is funded by Intel, Dell, NASA JPL and NSF.

Jul 2015 - Sep 2023

Assistant Professor Of Analytics & Finance

San Francisco, CA, US

I taught graduate level courses in the MS in Analytics (MSAN) and MS in Financial Analysis (MSFA) graduate programs. Subjects that I taught include machine learning, data acquisition, text mining, financial econometrics, derivatives and simulation for risk management. I also served as Director of the Practicums in the MSAN program - an industry project.

Jul 2012 - Jun 2015

Consulting Quantitative Analyst

Menlo Park, CA, US

Contracted by a Sand hill road private equity firm to design and implement exploratory research in the novel application of machine learning for estimating the predictive power of the funding characteristics of private companies. Key contributions include evaluating and aggregating qualitative data sources and products, creative data visualization, mining.

Apr 2011 - Jun 2012

Arthur Krener Visiting Assistant Professor In Applied Mathematics

Davis, California, US

Published research on error control in linear solvers for large-scale simulation of integrated water resource models and efficient deployment of risk simulation methods on parallel architectures. Applications include deployment of VaR estimation on GPUs and multi-core CPUs. See below for selected publications.

Mar 2009 - Mar 2011

Postdoctoral Researcher, Institute For Computational And Mathematical Engineering

Stanford, CA, US

Department of Defense funded research on simulating the mechanical properties of new bullet absorbing gels for lightweight infantry armor.

Sep 2007 - Dec 2008

Quantitative Risk Manager

New York, NY, US

Structured credit risk analytics. Prototyped a C#/VBA/Excel Monte-Carlo simulation based multi-factor model for calculating the potential future exposure of heat rate options. Supervised Credit Risk IT with testing and integration into a live risk management system. Improved robustness of model calibration procedure. Provided risk support on fixed income.

Jan 2007 - Sep 2007

Quantitative Risk Methodology Consultant

Basel, CH

Designed and implemented a simulation based corporate bond portfolio credit loss model based on the Merton approach for comparison with the Basel II economic capital estimation method. The multi-factor credit risk model estimated expected and unexpected credit losses and included country transfer risk effects. For large numbers of obligors, importance.

Aug 2003 - Jul 2004

Front Office Quantitative Developer

US

C++ quantitative developer in the structured credit trading group. Manage batch processes for mark-to-marketing CDS prices. Development of CDO pricing models in c++ and integration with live data feeds and databases. Support of structured credit trading analytics libraries.

Apr 2001 - Mar 2002

Software Engineering Consultant

West Hartford, US

UK Defense systems software engineer specializing in porting legacy distributed client-server military simulation applications to CORBA based network systems in C#.

Aug 1999 - Sep 2000
4 education records

Matthew Dixon education

Postdoctorate, Computational Math & Engineering

Stanford University

Phd, Applied Mathematics

Imperial College London

Msc, Parallel And Scientific Computing

University Of Reading

Meng, Civil Engineering

Imperial College London
FAQ

Frequently asked questions about Matthew Dixon

Quick answers generated from the profile data available on this page.

What company does Matthew Dixon work for?

Matthew Dixon works for Quiota.

What is Matthew Dixon's role at Quiota?

Matthew Dixon is listed as AI Consultant at Quiota.

What is Matthew Dixon's email address?

AeroLeads has found 3 work email signals at @iit.edu for Matthew Dixon at Quiota.

What is Matthew Dixon's phone number?

AeroLeads has found 4 phone signal(s) with area code 901, 650 for Matthew Dixon at Quiota.

Where is Matthew Dixon based?

Matthew Dixon is based in Santa Monica, California, United States while working with Quiota.

What companies has Matthew Dixon worked for?

Matthew Dixon has worked for Quiota, Goth Soul, Cfx Labs, Illinois Institute Of Technology, and University Of San Francisco.

How can I contact Matthew Dixon?

You can use AeroLeads to view verified contact signals for Matthew Dixon at Quiota, including work email, phone, and LinkedIn data when available.

What schools did Matthew Dixon attend?

Matthew Dixon holds Postdoctorate, Computational Math & Engineering from Stanford University.

What skills is Matthew Dixon known for?

Matthew Dixon is listed with skills including Monte Carlo Simulation, Quantitative Analytics, Quantitative Finance, Machine Learning, R, Statistical Modeling, Numerical Analysis, and Mathematical Modeling.

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