Matt Heiner
Assistant Professor
Brigham Young University
Department of Statistics
heiner@stat.byu.edu

Dynamic and mixture modeling of complex, dependent data via Markov chain Monte Carlo.

Research interests:

  • Bayesian nonparametrics
  • time series analysis
  • mixture models
  • sparse signal recovery
  • hierarchical modeling
with applications in:
  • ecology,
  • hydrology, and
  • atmospheric biomonitoring.

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  • Ph.D., Statistical Science, UC Santa Cruz, 2019.
  • M.S., Statistics, Brigham Young University, 2014.
  • B.S., Statistics: Actuarial Science Emphasis, Brigham Young University, 2014.
 
  • Summer Graduate Pedagogy Mentor, UC, Santa Cruz, 2018.
  • Online Course Developer, UC, Santa Cruz, 2016-2017.
  • Summer Student Intern, Lawerence Livermore National Laboratory, 2015 and 2016.
  • Statistician Intern, Savvysherpa Inc., 2014.
  • Research Assistant, Brigham Young University, 2012-2014.
  • R Programmer/Intern, Acxiom Corporation, 2013.
  • Acturaial Intern, Aon Hewitt, 2011.