Nathan G. Welch
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I am a Ph.D. student in the Department of Statistics at the University of Washington. I joined the BayesPop Project in 2018 and am working on migration forecasting methods under the supervision of Adrian Raftery. My research interests include:
  • probabilistic forecasting 
  • statistical methods for correlated and/or sparse data 
  • inference using nontraditional data sources 

Before joining the BayesPop Project, I was a Lead Data Scientist in the Information Technology division at the MITRE Corporation. 

I earned an M.S. in Mathematics and statistics from Georgetown University and B.S. in Mathematics from the University of Alabama at Birmingham. 
Seattle, WA