Brian Dailey
About Brian Dailey
Brian Dailey is a Senior Energy Market Modeling Analyst at American Electric Power, where he has worked since 2018. He holds a Ph.D. in Ultra-High Energy Particle Astrophysics and has developed machine learning algorithms that enhanced forecasting accuracy by over 10%.
Work at American Electric Power
Brian Dailey has been employed at American Electric Power since 2018, serving as a Senior Energy Market Modeling Analyst. In this role, he focuses on machine learning and forecasting within the energy market. He has successfully identified and resolved issues in a regulation company's payout model, contributing to the overall efficiency of the organization. His work has involved developing novel machine learning algorithms that have improved forecasting accuracy by over 10%.
Education and Expertise
Brian Dailey holds a Master's Degree in Physics from The Ohio State University, where he studied from 2009 to 2012. He further advanced his education by obtaining a Doctor of Philosophy (Ph.D.) in Ultra-High Energy Particle Astrophysics from the same institution, completing his studies from 2012 to 2016. Additionally, he earned a Bachelor's Degree in Physics from Kent State University between 2005 and 2009. His academic background provides a strong foundation for his analytical work in energy markets.
Background
Before joining American Electric Power, Brian Dailey worked at The Ohio State University as an Outreach Director for nine years, from 2009 to 2018. He also gained experience as a Data Analyst at Applied Information Sciences (AIS) for seven months in 2017 to 2018. His transition from data science to an Energy Market Modeling Analyst role reflects his diverse skill set and adaptability in the field.
Achievements in Energy Market Modeling
In his capacity as an Energy Market Modeling Analyst, Brian Dailey has developed innovative machine learning algorithms that enhanced forecasting accuracy by more than 10%. His expertise in data science and energy markets has positioned him as a valuable asset in his current role at American Electric Power. He also possesses experience with containerized systems, which he has utilized in various data science projects.