Trevor Campbell

Bio:
Trevor Campbell is an associate professor in the Department of Statistics at the University of British Columbia. He was previously a postdoctoral associate in the Computer Science and Artificial Intelligence Laboratory (CSAIL) and Institute for Data, Systems, and Society (IDSS) at MIT advised by Tamara Broderick, a Ph.D. candidate in the Laboratory for Information and Decision Systems (LIDS) at MIT advised by Jonathan How, and an undergraduate student at the University of Toronto in aerospace engineering. His research focuses on automated, scalable Bayesian inference algorithms, variational methods, Bayesian nonparametrics, and Bayesian theory. He has received the Blackwell-Rosenbluth award from the International Society for Bayesian Analysis, the PIMS/UBC Mathematical Sciences Early Career Award from the Pacific Institute for the Mathematical Sciences, and an Open Educational Resources Excellence and Impact Award from UBC for his textbook, Data Science: A First Introduction (co-authored with T. Timbers & M. Lee at UBC).