Jordan Hart
Exeter, England,United Kingdom
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Dr. Jordan Hart is a distinguished researcher and thought leader specializing in Artificial Intelligence, with a particular focus on Machine Learning Operations (MLOps) and the ethical deployment of AI systems. With over fifteen years of experience spanning academia and industry, Dr. Hart has been at forefront of developing scalable and reliable AI solutions. Their work emphasizes the practical application of cutting-edge research to solve real-world problems, advocating for robust testing, continuous monitoring, and human-centric AI design. Dr. Hart is deeply passionate about democratizing AI knowledge and frequently contributes to open-source projects and educational initiatives. They are a sought-after speaker at international conferences, known for their ability to demystify complex AI concepts and inspire innovation in responsible AI development.
Professional Summary
Jordan Hart's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Pioneer in Explainable AI (XAI) Frameworks
Developed a novel open-source framework for XAI that has been adopted by several leading tech companies to improve transparency and trust in their machine learning models.
Authored 'AI at Scale: Bridging Research and Reality'
Published a best-selling book that provides a practical guide for organizations on implementing and scaling AI solutions effectively and ethically, now a staple in several university curricula.
Recipient of the 'Tech Innovator for Social Good' Award 2022
Awarded for their significant contributions to leveraging AI for societal benefit, particularly in projects related to sustainable development and healthcare accessibility.
Keynote Speaker at Global AI Summit 2023
Delivered a highly-praised keynote address on 'The Future of Responsible MLOps,' influencing industry standards and best practices.
Led Development of a Predictive Maintenance AI for Renewable Energy
Spearheaded a multi-disciplinary team to create an AI system that significantly improved the efficiency and reduced downtime of wind turbine farms, contributing to greener energy production.
Educational Background
Doctor of Philosophy - PhD, Data Science and Behavioural Ecology
University of Exeter - Year 2019
Master’s Degree, Mathematics
University of York - Year 2015
High School
Birkenhead School - Year 2007
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Company Overview
OptifiOptiFi is a decentralized options exchange built on the Solana blockchain. It aims to provide users with a capital-efficient way to trade options, leveraging an on-chain order book and an automated market maker (AMM). The platform focuses on portfolio margining to optimize collateral usage for traders and offers a range of American-style options on various underlying crypto assets.
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