Damian Thomas

Damian Thomas is a seasoned professional with extensive experience in financial analysis and data programming. Currently serving as a Visiting Professor at Howard University since August 2023, Damian leads a course on statistical programming and applied data analysis using R. For over 16 years, Damian has held multiple roles at the Federal Reserve Board, progressing from Financial Analyst to Lead Financial Analyst, synthesizing financial measures to assess interactions among economic actors. Previous positions include Programmer/Analyst at AOL, Statistical Programmer at SAIC, and Data Analyst at The Dot-Com Group, highlighting a strong background in data engineering and predictive modeling. Damian holds an MA in Applied Economics from The Johns Hopkins University and a BA in Sociology from William & Mary.