Lindsey Dietz is a Data Science Manager at the Federal Reserve Bank of Minneapolis with over 15 years of experience building statistical models and translating complex quantitative results for policy and stakeholders. She progressed through roles from quantitative validation to senior quantitative analyst before leading data science teams since 2020, combining rigorous model validation with practical deployment. Based in Minneapolis, she brings a strong academic foundation from the University of Minnesota system and hands-on experience in both banking and research settings. An active community builder in the R ecosystem, she organizes the @rnorthconference and shares R and R-Ladies work on GitHub, signaling a commitment to open collaboration and mentoring. Her background as an AAAS IF/THEN Ambassador reflects a talent for STEM outreach and making technical topics accessible to broader audiences.
8 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of Minnesota
Bachelor’s Degree, Bachelor’s Degree at University of Minnesota Duluth
Contributions:3 pushes, 3 branches in 1 year 3 months
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