- Doctor of Philosophy: Statistics; The Ohio State University; April 2023
- Dissertation: Bayesian Inference for Nonparametric Regression Models
- Bayesian Projection Pursuit Regression
- Estimating the Optimal Number of Bayesian Additive Regression Trees
- Exact Bayesian Inference for Functional Regression Models
- Advisors: Matthew Pratola and Radu Herbei
- Dissertation: Bayesian Inference for Nonparametric Regression Models
- Master and Bachelor of Science (Joint MS/BS): Statistics; Brigham Young University; August 2018
- Thesis: Spatio-temporal, Multi-resolution Modeling to Infill Missing Areal Data and Enhance the Temporal Frequency of Infrared Satellite Images
- Committee: Matthew Heaton (co-chair), William Christensen (co-chair), and Robert Richardson
- Mathematics Minor and Music Minor
- RESEARCH
- Statistics Intern; Los Alamos National Laboratory (Los Alamos, NM); Bayesian Projection Pursuit, Bayesian Adaptive Spline Models, Bayesian Neural Networks;
May 2021 - Present - Data Analytics Intern; Battelle (Columbus, OH); Neural Networks, Analysis of Experiments, Data Synthesis;
May 2019 - August 2019 - Research Assistant to Elly Kaizar; The Ohio State University; Bayesian Generalized Linear Mixed Models, Speech and Language Science Applications;
October 2018 - August 2019 - Research Assistant to Matthew Heaton; Brigham Young University; Physically Constrained Spa- tial Modeling, Areal Satellite Data;
April 2016 - August 2018 - Research Assistant to William Christensen; Brigham Young University; Functional Data Analysis, Exercise Science Applications;
July 2015 - August 2018 - TEACHING
- Instructor; Introduction to Mathematical Statistics; The Ohio State University; Spring 2022
- Instructor; Principles of Statistics; Brigham Young University; Spring-Summer 2018
- Teaching Assistant; Department of Statistics, Brigham Young University
- Applied Bayesian Statistics; Instructor: Gilbert Fellingham; Spring/Summer 2017
- Introduction to Bayesian Statistics; Instructor: Zachary Knowlton; Spring/Summer 2016
- Analysis of Variance; Instructor: William Christensen; Winter 2016
- Introduction to Bayesian Statistics; Instructor: Candace Berrett; Fall 2015
- STATISTICAL CONSULTING
- Statistical Consultant; Statistical Consulting Service, Department of Statistics, The Ohio State University; January 2021 - May 2021
- Statistical Consultant; Center for Collaborative Research and Statistical Consulting, Department of Statistics, Brigham Young University; September 2017 - April 2018
- Statistical Modeling of Physical Processes; Departments of Electrical Engineering and Exercise Science, Brigham Young University; July 2015 - August 2018
- PUBLICATIONS IN PREPARATION
- Gavin Collins, Devin Francom, and Kellin Rumsey, “Bayesian Projection Pursuit Regression,” Sub- mitted to Bayesian Analysis.
- Gavin Collins, Matthew Pratola, Radu Herbei, Edward George, Robert McCulloch, “Estimating the Optimal Number of Bayesian Additive Regression Trees.”
- Jennifer Lundine and Gavin Collins, “Bayesian Analysis of Discourse Patterns in Children.”
- PEER-REVIEWED PUBLICATIONS
- Gavin Collins, Jennifer Lundine, and Elly Kaizar (2021), “Bayesian Generalized Linear Mixed- Model Analysis of Language Samples: Detecting Patterns in Expository and Narrative Discourse of Adolescents With Traumatic Brain Injury,” Journal of Speech, Language, and Hearing Research.
- Leiqiu Hu, Ying Sun, Gavin Collins, and Peng Fu (2020), “Improved estimates of monthly land surface temperature from MODIS using a diurnal temperature cycle (DTC) model,” ISPRS Journal of Photogrammetry and Remote Sensing, 168(10), 131-140.
- Matthew K. Seeley, Alyssa Evans-Picket, Gavin Q. Collins, James B. Tracy, Noelle J. Tuttle, Parker G. Rosquist, A. Jake Merrell, William F. Christensen, David T. Fullwood, and Anton E. Bowden (2020), “Predicting Vertical Ground Reaction Force During Running Using Novel Piezoresponsive Sensors and Accelerometry,” Journal of Sports Sciences.
- Gavin Q. Collins, Matthew J. Heaton, and Leiqiu Hu (2019), “Physically Constrained Spatiotemporal Modeling: Generating Clear-Sky Constructions of Land Surface Temperature from Sparse, Remotely Sensed Satellite Data,” Journal of Applied Statistics
- Jihui Lee, Gen Li, William F. Christensen, Gavin Collins, Matthew Seeley, Anton E. Bowden, David T. Fullwood, Jeff Goldsmith (2019), “Functional Data Analyses of Gait Data Measured Using In-Shoe Sensors,” Statistics in Biosciences.
- Alyssa Evans, Gavin Q. Collins, Parker G. Rosquist, Noelle J. Tuttle, Steven J. Morrin, James B. Tracy, A. Jake Merrell, William F. Christensen, David T. Fullwood, Anton E. Bowden, and Matthew K. Seeley (2018), “A Novel Method to Characterize Walking and Running Energy Expenditure,” Journal for the Measurement of Physical Behaviour, 1(3) 100-107.
- G.Q. Collins, M.J. Heaton, L. Hu, and A.J. Monaghan (2017), “Spatio-temporal, Multi-resolution Modeling to Infill Missing Areal Data and Enhance the Temporal Frequency of Infrared Satellite Images,” Environmetrics, 28(7).
- Parker G. Rosquist, Gavin Collins, A. Jake Merrell, Noelle J. Tuttle, James B. Tracy, Evan T. Bird, Matthew K. Seeley, David T. Fullwood, William F. Christensen, and Anton E. Bowden (2017), “Estimation of 3D Ground Reaction Force Using Nanocomposite Piezo-Responsive Foam Sensors During Walking,” Annals of Biomedical Engineering, 45(9) 2122-2134.
- Gavin Collins, Devin Francom, and Kellin Rumsey; BayesPPR: An R Package for the Bayesian Projection Pursuit Regression Model; https://github.com/gqcollins/BayesPPR; August 2022.
- A. Jake Merrell, David T. Fullwood, Anton E. Bowden, Gavin Q. Collins, Parker G. Rosquist, and William F. Christensen; “Shoe-Based Analysis System”; Application No. 14/990,763; January 2016.
- Lubrizol Summer Fellowship, The Lubrizol Corporation; May 2020.
- University Fellowship, The Ohio State University Graduate School; August 2018.
- Honorable Mention, Graduate Research Fellowship Program, National Science Foundation; April 2018.
- One of two awarded for excellent performance on both the qualifying exam and first year graduate coursework, Department of Statistics, Brigham Young University; August 2017.
Funded Not Funded Under Review
- “Physically Constrained Spatiotemporal Modeling of Remotely Sensed Land Surface Temperature,” (2017) submitted to the National Science Foundation, Graduate Research Fellowship Program (Role: Sole PI; Amount: $138,000). Recipient of an Honorable Mention.
- “A Multi-resolution Spatial Approach to Estimating the Diurnal Cycle of Land Surface Temperature,” (2017) submitted to BYU Rocky Mountain NASA Space Grant Consortium (Role: Sole PI).
- “Validating Remote Sensing Temperatures for Scientific Use,” (2016) submitted to BYU Office of Research & Creative Activities (Role: Sole PI).
- “Validating Predictions from a Spatio-temporal, Multi-resolution Model of Areal Satellite Temperature Data for Scientific Use,” (2016) submitted to the National Science Foundation, Graduate Research Fellowship Program (Role: Sole PI; Amount: $138,000). Reviewed as “Very Good” 5 times, and “Good” once.
- “Bayesian Projection Pursuit Regression,” Quality & Productivity Research Conference (presenting remotely); June 2022.
- “Bayesian Projection Pursuit Regression,” CCS-6 Seminar, Los Alamos National Laboratory (present- ing remotely); July 2021.
- “Physically Constrained, Spatiotemporal Modeling of Remotely Sensed Land Surface Temperature,” UNSG Fellowship Symposium, Ogden, UT; May 2018.
- “Spatio-temporal, Multi-resolution Modeling of Areal Satellite Temperature Data in Houston,” Student Research Conference, The College of Physical and Mathematical Sciences; Brigham Young University; March 2017 – Awarded Best in Session.
- “Modeling Three-Dimensional Ground Reaction Force with Voltage Sensors via Functional Data Anal- ysis,” Spring Research Conference, The College of Physical and Mathematical Sciences; Brigham Young University; March 2016.
- Science Fair Judge; Annual High School State Fair 2019-2022 – The State of Ohio
- Florence Nightingale Day 2020-2021 – The Ohio State University Department of Statistics
- Data Science for Women Summer Camp 2020 – The Ohio State University Department of Statistics
- National Institute of Statistical Science; 2021 - Present
- Primary Graduate Student Liaison for Ohio State University
- Graduate Student Network Outreach Committee Member
- American Statistical Association; 2016 - Present
- Section on Bayesian Statistical Science
- Section on Nonparametric Statistics
- Section on Statistical Computing
- Section on Data Science
- BYU‘s Premier Wind Symphony – 5 semesters
- Top honors as Davis High’s outstanding musician 2009 - 2010
- Utah‘s All-State Band 3 years; 1 year as principal clarinetist
- Eagle Scout
- Doctor of Philosophy: Statistics; The Ohio State University; April 2023
- Dissertation: Bayesian Inference for Nonparametric Regression Models
- Bayesian Projection Pursuit Regression
- Estimating the Optimal Number of Bayesian Additive Regression Trees
- Exact Bayesian Inference for Functional Regression Models
- Advisors: Matthew Pratola and Radu Herbei
- Dissertation: Bayesian Inference for Nonparametric Regression Models
- Master and Bachelor of Science (Joint MS/BS): Statistics; Brigham Young University; August 2018
- Thesis: Spatio-temporal, Multi-resolution Modeling to Infill Missing Areal Data and Enhance the Temporal Frequency of Infrared Satellite Images
- Committee: Matthew Heaton (co-chair), William Christensen (co-chair), and Robert Richardson
- Mathematics Minor and Music Minor