Matt Brigida is an Associate Professor of Finance and applied quantitative researcher with 11 years of academic experience and a strong track record in time series analysis, high-frequency trading, and energy derivatives pricing. He blends academic rigor (PhD in Finance) with hands-on engineering—authoring an R package (EIAdata), building production data pipelines (MySQL databases, CME FIX/FAST orderbook reconstruction), and now developing Python ML workflows with TensorFlow and PyTorch. His industry roles include modeling default risk and valuation at NextEra and Southeast Toyota Finance, and advising the Milken Institute where he delivered R/Shiny decision tools and structured security models. Based in Utica, NY, he teaches and leads research at SUNY Polytechnic and Clarion University while contributing open-source code and lectures online, demonstrating a rare mix of econometric depth and practical software engineering.
11 years of coding experience
12 years of employment as a software developer
BBA, BBA at Loyola University of Maryland
Master's degree, Economics, 3.8, Master's degree, Economics, 3.8 at Florida Atlantic University
R Wrapper for the Energy Information Administration (EIA) API
Contributions:2 releases, 1 review, 67 commits in 8 years 1 month
r-packageapiadministrationeiaenergy
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