Summary
David Schlueter is an Assistant Professor and Ph.D. biostatistician with nine years of experience applying data science to precision health informatics. He has transitioned from postdoctoral and research fellow roles at Vanderbilt and the NHGRI to leading academic research and teaching at the University of Toronto, combining rigorous statistical theory with applied bioinformatics. His work spans advanced probability, statistical learning, and genomics-informed informatics, supporting translational precision medicine initiatives. David’s background in both mathematics and biostatistics, plus hands-on experience building analytics pipelines for clinical and public-sector partners, gives him a rare mix of theoretical depth and practical implementation. He often bridges methodological research and real-world data challenges, translating complex models into actionable insights for precision health.
9 years of coding experience
7 years of employment as a software developer
Bachelor's Degree, Mathematics and Statistics (Dual-Major), Bachelor's Degree, Mathematics and Statistics (Dual-Major) at Grand Valley State University
Doctor of Philosophy (Ph.D.), Biostatistics, Doctor of Philosophy (Ph.D.), Biostatistics at Vanderbilt University
English, Spanish, Hindi, Bengali