Daniel Kheloussi

Energy Industry Analyst at Federal Energy Regulatory Commission; Chapter Leader, DataKind DC

Dan Kheloussi is an Energy Industry Analyst at the Federal Energy Regulatory Commission (FERC) with over a decade of experience in electricity market design issues.1 His background combines technical expertise with economic analysis, making him well-suited for his role in the energy sector.

Education and Skills

Dan holds a Bachelor of Engineering in Engineering Physics with a minor in Electrical Engineering from the University of Pittsburgh, completed in 2008.1 He furthered his education by obtaining a Master of Science in Applied Economics from Johns Hopkins University in 2014.1 This combination of technical and economic knowledge provides him with a comprehensive understanding of the energy industry.

In addition to his formal education, Dan is multilingual:

Native or bilingual proficiency in English
Limited working proficiency in German
Currently learning Spanish1

Professional Experience

Federal Energy Regulatory Commission: Dan has been working at FERC for over 10 years, focusing on electricity market design issues.1

Previous Roles:

Energetics: From October 2010 to April 2013, Dan supported the Research and Development Program at the Office of Electricity Delivery and Energy Reliability (OE) at the Department of Energy. He provided direct support to program managers leading Energy Storage Systems and Transmission Reliability programs.1
University of Pittsburgh: Between September 2007 and February 2010, Dan led a research project creating a lighting device that emulated natural lighting using colored LEDs. This project resulted in a provisional patent.1
Fermi National Accelerator Laboratory: In the summer of 2007, Dan worked as a Research Assistant, creating an artificial neural network in C++ to measure rare low energy events.1

Additional Involvement

Dan is actively involved in humanitarian and environmental causes. He serves as a chapter leader for DataKind DC, a non-profit organization that assists other non-profits with data science projects focused on humanitarian and environmental issues.1