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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)

Publications

Data and Software Publications

Created September 11, 2019, Updated December 8, 2022
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