Portrait of Matthew Wang, Cofounder & CEO of OpenGradient

Matthew Wang

Cofounder & CEO of OpenGradient

Location: New York City, NY, USA

Expertise: Quantitative Trading, Artificial Intelligence, ML Research, High-Performance Computing

Interests: Behavioral Game Theory, Breakdancing, Calisthenics, Classical Piano


Experience

OpenGradient logo

OpenGradient (2024–Present)

Cofounder & CEO

Research Lab building at the frontier of AI and blockchain computing.
Raised $10M from a16z crypto, Coinbase Ventures, SV Angel and more.

Two Sigma logo

Two Sigma (2020–2024)

Quantitative Research & Engineering

Research and modeling engineering for equity options market-making (OMM).

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Google (2019)

Machine Learning Intern

ML Modeling and infrastructure for ads traffic estimation.

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Meta (2018)

Software Engineering Intern

Messenger and Instagram core messaging heuristic infrastructure.

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NASA (2017)

Software Engineering Intern

Preliminary hazard data analytics and modeling systems.

Featured Research

Risk Prediction Dynamic Fee Systems for Mitigating Loss in Automated Market Making (2024)

A novel approach to setting Automated Market Making (AMM) liquidity pool fees dynamically using machine learning to predict market volatility, designed to mitigate impermanent loss risk for liquidity providers and optimize their returns.

A Mathematical Approach to Algorithmic Stablecoin Issuance and Liquidity Optimization (2022)

Research proposal for a protocol that mints a fully collateralized algorithmic stablecoin and provides liquidity-as-a-service using mathematically optimized incentive structures to address key stability and liquidity challenges in DeFi.

Regime-Switching Factor Investing with Hidden Markov Models - Journal of Risk and Financial Management (2020)

Explores the use of Hidden Markov Models (HMM) for market regime classification to dynamically adjust factor exposures based on market conditions. Published in the Journal of Risk and Financial Management.

Featured Writing

Education

Northwestern University (2020)

B.S. in Electrical and Computer Engineering