Virtual Career Fair - Government Agencies

About the Speakers

Jeff Gonzalez is a research mathematical statistician in the Food Assistance Branch of the Food Economics Division. He is currently leading the survey and data development efforts for the Second National Food Acquisition and Purchase Survey (FoodAPS-2). His research interests include modular survey designs, responsive/adaptive designs, respondent burden, and nonresponse bias. Jeff joined the Economic Research Service in December 2019. Prior to joining ERS, Jeff was a mathematical statistician at the U.S. Bureau of Labor Statistics. Jeff worked on various aspects of the statistical and survey methodology for its national surveys on employee compensation and working conditions. He also conducted research for the redesign efforts for the Consumer Expenditure Survey. Jeff received his PhD in Survey Methodology (with a Statistical Science concentration) from the Joint Program in Survey Methodology at the University of Maryland – College Park. He also has an MS in Biostatistics from the University of Michigan and a BS in Biostatistics from the University of North Carolina at Chapel Hill.

Victoria Bryant is currently the Acting Associate Director for the Statistics of Income Division under the Research, Applied Analytics, and Statistics Business Unit of the Internal Revenue Service (IRS), where she has been for the past 15 years.  In addition to her current SOI leadership role, she is actively engaged in the creation of a fully synthetic Public Use File, the development of the Standard Application Process, and numerous research studies on the impact of retirement savings tax expenditures on individual participation.  Throughout her career she has collaborated extensively with both government and non-government researchers across the globe on topics including intergenerational income mobility and poverty, and advanced statistical methodology.  She was also instrumental in standing up the Joint Statistical Research Program, which received the 2021 Roger Herriot Award for Innovation in Federal Statistics.  She received her BA in Economics from Virginia Tech, her MA in Economics from George Mason University, and her PhD in Public Policy also from George Mason University.

Moderator

Danny Friel is a research mathematical statistician in the Office of Compensation and Working Conditions (OCWC) at the U.S. Bureau of Labor Statistics (BLS). As a technical expert in statistical methodology, he works on initiatives to improve OCWC statistical outputs, develop new sampling and estimation techniques, and share findings with the partners in other offices, agencies, and research groups. Before joining BLS, he worked as a monitoring and evaluation expert for non-profit organizations and held research positions at the U.S. Government Accountability Office and the City of San Francisco. He is a graduate of the Goldman School of Public Policy at University of California, Berkeley.