• Managed key partnerships and developed advanced data systems for clients in various industries.• Built bespoke ML/AI models to drive innovation and success for Valorum Data.• Designed + implemented + and maintained end to end data warehouse systems for clients.• Passionate about teaching + training to empowering client + students to apply new ideas and tools effectively.

As founder and CEO at Coinsul I have been responsible for the integration of the team, development of the product, and growth of the platform. Coinsul aims to be the most complete and easy to use platform for anyone to learn about, understand, invest in, and manage a portfolio of blockchain investments. We specialize in the area of decentralized finance and encourage responsible/aware investing for all.

My primary responsibility at UCF is to teach Masters students in the Masters of Science in Data Analytics program (MSDA). I have developed and taught a new course titled the computational analysis of social complexity. Topics for the course include graph theory, network flow analysis, game theory, auction theory, agent based modeling, and blockchain analysis. The course is delivered in person and students are required to submit all assignments in the Julia programming… Show more My primary responsibility at UCF is to teach Masters students in the Masters of Science in Data Analytics program (MSDA). I have developed and taught a new course titled the computational analysis of social complexity. Topics for the course include graph theory, network flow analysis, game theory, auction theory, agent based modeling, and blockchain analysis. The course is delivered in person and students are required to submit all assignments in the Julia programming language.https://sglyon.github.io/ucf-cap-6318/ Show less

Develop and teach 4 course sequence on computational social science to NYU masters students.Topics include: linear algebra, basic Python programming, data handling and analytics with pandas, probability theory, statistics, web scraping, convex optimization, unemployment modeling, data visualization, dynamic programming, asset pricing, machine learning, deep learning, reinforcement learning, Markov chains, time series modeling, bayesian regression modeling, natural language processing… Show more Develop and teach 4 course sequence on computational social science to NYU masters students.Topics include: linear algebra, basic Python programming, data handling and analytics with pandas, probability theory, statistics, web scraping, convex optimization, unemployment modeling, data visualization, dynamic programming, asset pricing, machine learning, deep learning, reinforcement learning, Markov chains, time series modeling, bayesian regression modeling, natural language processing, and graph theory.https://css.as.nyu.edu/ Show less

PhD in economics from the Stern school of business at New York University.

Worked at the Bank of England on a research fellowship. The two main projects I worked on were building software for describing and solving macroeconomic models and studying how reinforcement learning algorithms can be applied to economics.

Mainly work building and solving DSGE models that require advanced computational techniques.

Major: Economics, Applied Physics