May An
Federal Reserve Bank of St. Louis
May is a quantitative fellow at the Federal Reserve Bank of Saint Louis. Prior to joining the QFP, she worked as a senior investment analyst at Blue Cross Blue Shield of Minnesota, focusing on risk management and asset allocation. In 2024, she earned her PhD in mathematics from the University of Minnesota, where she studied Eisenstein series for classical groups and the Siegel-Weil formula. May also holds a master's degree in mathematics from the University of Minnesota, and a bachelor's degree in mathematics from Peking University.
Nick Anderson
Federal Reserve Bank of New York
Nick joined the Federal Reserve Bank of New York as a Quantitative Fellow in 2025. Prior to joining the QFP, Nick was a PhD student in economics at the New School for Social Research. Before that, he worked as an investment analyst at Soroban Capital Partners. In 2018, he earned a Master of Science in finance from the University of Florida.
Melissa Juarez
Federal Reserve Bank of Atlanta
Melissa joined the Federal Reserve Bank of Atlanta as a quantitative fellow in 2026. Prior to joining the QFP, Melissa was a CMU Rales Fellow and earned a master's degree in applied data science at Carnegie Mellon University. Before that, she was a higher education policy researcher and contributed to real estate and housing projects at the Georgia Tech Center for Urban Research. She earned her B.A. in Mathematics-Statistics from Columbia University in 2023.
Austin MacDonald
Federal Reserve Bank of San Francisco
Austin MacDonald joined the Federal Reserve Bank of San Francisco after receiving his PhD in economics from City University of New York, where his dissertation focused on asset pricing, examining how investors are influenced by the portfolio allocations of their peers and competitors. He also has been a lecturer at Baruch College and Johns Hopkins University and previously worked for the Treasury of Mexico in the Debt Management Office. He holds a Bachelor’s degree from Instituto Tecnológico Autónomo de México (ITAM), and he was recipient of an NSF-GRFP award during doctoral studies.
Ben Panovich
Federal Reserve Bank of Cleveland
Prior to joining the Federal Reserve Bank of Chicago as a Quantitative Fellow, Ben Panovich joined the Federal Reserve Bank of Cleveland as a Quantitative Associate in 2024. In Cleveland he worked on model risk management exams and model development to measure investment securities risk in community banks. He received his Masters of Science in Financial Mathematics from the University of Chicago. Ben also has experience working with CLOs at US Bank.
Spencer Wang
Federal Reserve Bank of San Francisco
Spencer joined the Federal Reserve Bank of San Francisco as a quantitative fellow in 2025. Prior to joining the QFP, he received his PhD in economics from Pennsylvania State University. His doctoral dissertation reveals that central banks worldwide avoid reporting losses through foreign exchange interventions and demonstrates how such loss-avoiding behavior could lead to welfare gains. He also served as a lecturer at Penn State, teaching Macroeconomics and Introductory Economics. Spencer holds a Master’s degree in economics from National Taiwan University, focusing on econometrics, and a Bachelor’s degree in business administration from the same school.