Vladyslav Shein
PhD Student · School of Public Health Sciences
University of Waterloo
Applying machine learning and statistical modeling to explore complex health outcomes, advance precision health, and bridge the gap between data science and clinical decision-making.
ML & AI for Health
Precision Health
Health Informatics
Bridging data science and public health
I am a PhD student in the School of Public Health Sciences at the University of Waterloo. My background bridges computer science, data analytics, and public health.
Through my research I aim to advance precision health, promote the ethical use of AI in healthcare, and bridge the gap between data science and clinical decision-making.
Research Interests
Education
Computer Science & Education
T.H. Shevchenko National University "Chernihiv Collegium"
Computer Science & Higher Education
Drahomanov Ukrainian State University
Public Health Sciences
Health Informatics · University of Waterloo
This work identifies six distinct multi-outcome trajectories in TBI patients using Latent Class Mixed Models (LCMM) and clustering approaches.
Drawing on longitudinal data from the TRACK-TBI study — a multicenter cohort across 18 level 1 trauma centers in the US — with 17 outcome measures at four post-injury time points.
By moving beyond single-outcome analyses, this research supports more personalized treatment strategies and improved patient outcomes.