Matt Koslovsky

Associate Professor of Statistics at CSU

I graduated with a PhD in Biostatistics from The University of Texas Health Science Center School of Public Health (UTHealth) in December 2016 and held an appointment as a Post-Doctoral Research Associate in Data Science at Rice University in Dr. Marina Vannucci’s research lab from March 2018 to August 2020. Prior to this role, I served as a statistical consultant in the Biostatistics Lab at Johnson Space Center on the Human Health and Performance Contract. I joined the Statistics Department at Colorado State University Fall 2020 and was promoted to Associate Professor with tenure in 2026. My research interests include:

Theory and Methods: Bayesian modeling, variable selection, graphical models, nonparametric Bayes, statistical computing, multistate Markov models, R package development, functional data analysis, hidden Markov models, variational inference, joint modeling, compositional data analysis, data augmentation

Application: cancer prevention, smoking behaviors, mental health, addiction, physical activity, nutrition, microbiome, mHealth, ecological momentary assessment, intensive longitudinal data, environmental health, human health and performance in space, ecology, causal inference, personalized intervention design, record linkage

Research Group

Adam Simpson

PhD Statistics Candidate, CSU

Adam is a PhD candidate in Statistics at Colorado State University. He received his Bachelors and Masters degrees in Statistics from Brigham Young University in 2025. Adam’s Master’s project involved developing methodology and an R package for Bayesian Spatio-temporal Factor Analysis with application to environmental problems. Adam enjoys teaching and has taught or been a teaching assistant for general statistics courses, business statistics, and undergraduate and graduate-level probability theory. Also, Adam worked as a consultant during his Master’s degree at BYU, providing advice and analysis for over a dozen interdisciplinary research projects. Adam’s primary research interests include spatio-temporal modeling, Bayesian methods, MCMC, and Bayesian nonparametric problems.

Hyungjoon Kim

PhD Statistics Candidate, CSU (co-advised with Dr. Andee Kaplan)

From 2016 to 2021, Hyungjoon worked for Korea Credit Bureau as a lead consultant and data scientist specializing in detecting financial fraud. Afterward, he worked as a fraud data analyst for Viva Repulica Inc. (Toss) in 2021. He completed my M.S. in Statistics at Korea University (Advisor: Dr. Taeryon Choi) in 2016 and my B.E. in Statistics at Korea University in 2014. His research interests include: variational inference, Bayesian statistics, record linkage, parallel computing, streaming data analysis, clustering, Markov-chain Monte Carlo, machine learning, rare events data analysis, fraud detection, and statistical software development. Here’s a link to his website.

Brody Erlandson

PhD Statistics Candidate, CSU (co-advised with Dr. Ander Wilson)

Brody is a PhD Candidate in Statistics at Colorado State University, previously receiving his Masters from the University of Michigan and Bachelors from Eastern Michigan University. Brody’s interests include Bayesian methodology, probabilistic machine learning, and causal inference.

Alumni

Suppapat “Kevin” Korsurat

PhD Statistics, CSU

Suppapat is currently a Lecturer at Chulalongkorn University.

Justin Van EE

PhD Statistics, CSU (co-advised with Dr. Mevin Hooten)

Justin is currently an Assistant Professor of Biostatistics at University of Hawaii at Manoa.

Scott Liang

PhD Statistics, Rice University (co-advised with Dr. Marina Vannucci)

Scott is currently a Data Scientist at Capital One.