Office:
Phone: (000) 000-0000
Website: https://mkoslovsky.github.io
Curriculum Vitae: https://mkoslovsky.github.io/CV.pdf
Education
- Post-Doctoral Fellowship, Statistics, Rice University
- PhD, Biostatistics, UTHealth
- BS, Mathematics, The University of Texas - Austin
About
Dr. Koslovsky's research is focused on the development of exploratory methods that can be used to generate hypotheses from complex data structures, including large-scale observational studies, integrated data sets, and mobile health data. He has collaborated on various projects studying the human microbiome, addiction behaviors, and the effects of spaceflight on human physiology. As a methodologist, Dr. Koslovsky is currently interested in Bayesian modeling, variable selection, nonparametric Bayes, statistical computing, and developing R packages.