Summary
John Dziak is a data scientist and statistician with a Ph.D. in statistics and over a decade of experience translating complex experimental designs into practical analysis and software. He has held research and leadership roles at Penn State, University of Illinois Chicago, and now supports dynamic intervention decision-making at the University of Michigan, specializing in sequential, factorial, and longitudinal trial methods. John combines deep methodological work—co-developing mediation and sample-size software and maintaining Fortran/C, R, and SAS tools—with applied analyses in mental and public health, from COVID-19 student studies to substance-use networks and children’s dental needs. His background in psychology informs a pragmatic focus on interventions that improve mental and physical health, and he routinely bridges theory, simulation, and reproducible software for high-impact publications.
11 years of coding experience
19 years of employment as a software developer
Doctor of Philosophy (PhD), Statistics, Doctor of Philosophy (PhD), Statistics at Penn State University
Bachelor of Science (BS), Psychology, Bachelor of Science (BS), Psychology at University of Scranton
Pittston Area Senior High School
Master of Arts (MA), General Psychology, Master of Arts (MA), General Psychology at The Catholic University of America