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Lucas Koepke (Fed)
Lucas Koepke graduated from the University of Colorado in 2006 with two Bachelor of Arts degrees, in Mathematics and Germanic Studies, and with a Master of Science degree in Statistics from the University of Washington in 2011. From 2011 to 2018 he worked as a Data Analyst/Statistician for the Technology & Social Change Group at the University of Washington.
Lucas has been with the Statistical Engineering Division at NIST since October 2018, first as a PREP associate and as a federal employee starting in 2020.
Technical Areas of Research and Consulting
- Linear and nonlinear models
- Data visualization
- Big data
- Statistical computing (bootstrap, Monte Carlo, R, Python, Scala)
- Machine learning (artificial neural networks, generative adversarial networks, deep learning)