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Matt Miller

Data Scientist

Google

Welcome!

I’m a data scientist at Google on the Search team. I earned my PhD in the Department of Statistics at North Carolina State University under the direction of Dr. Brian Reich. In graduate school, I developed Bayesian statistical methods for spatial data and applied these methods to a variety of fields including materials and environmental science. I am a former NSF SEAS Fellow and won the Francis G. Giesbrecht Award for Statistical Consulting. Both of these accomplishments show my love for collaboration and helping others to understand statistics. Before graduate school, I was a high school mathematics teacher in the Durham, NC public schools system. Now, I collaborate with software engineers and other stakeholders to develop data-driven products.

Interests

  • Bayesian Inference
  • Causal Inference
  • Methods for Spatial Data
  • Interdisciplinary Research
  • Statistical Consulting
  • Public Policy

Education

  • PhD in Statistics, 2021

    North Carolina State University

  • MR in Statistics, 2018

    North Carolina State University

  • MA in Teaching, Secondary Mathematics, 2014

    Duke University

  • BA in Mathematics, Magna Cum Laude, 2011

    St. Mary's College of Maryland

Projects

Accounting for Location Measurement Error in Atomic Resolution Images of Crystalline Materials

Collaboration with NCSU materials science department. Paper in review.

Predicting NC House Elections Using Past Voting Data

Looking at the effect of gerrymandering on election outcomes.

Spectral Methods For Spatial Data

New method in development.

Recent and Upcoming Talks

Accounting for Location Measurement Error in Atomic Resolution Images of Crystalline Materials

(Best graduate student presentation winner) Developed a new Bayesian Hierarchical model to account for measurement error using all the …

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