Teaches courses within the Doctor of Science in Movement Sciences (DScMvt) degree, Doctor of Philosophy in Rehabilitation Sciences (PhD) and Doctor of Nursing Science (DNSc) degree programs.
Dr. Uohna Thiessen is a statistician and data scientist with over 12 years of experience across healthcare, technology, and consumer analytics. She earned a Bachelor of Science in Biochemistry from Oakwood University, where her research in electrochemistry of plants ignited a lasting interest in quantitative inference within biological systems. Dr. Thiessen pursued her doctoral training in Biomedical Sciences at Wright State University (ABD) and completed Ph.D. in Biostatistics at Walden University. Her dissertation research focuses on public health analytics, advancing statistical and computational methods for modeling chronic disease outcomes
Throughout her career, Dr. Thiessen has held roles that include consumer research specialist at Procter & Gamble, analytics leader at Blue Cross Blue Shield, and Senior Data Scientist at Meta. In addition to her industry experience, she has taught courses in statistics, quantitative methods, and data science at various institutions, including Caltech, Kettering College (USA), Universidad de Monterrey (Mexico), and VNRVJ Institute of Engineering and Technology (India). As an educator and seasoned consultant statistician, she is recognized for making complex methods accessible and for translating advanced models into actionable insights.
Dr. Thiessen specializes in doctoral-level research statistics. Her courses emphasize rigorous study design, effective quantitative analysis, and fundamental principles of data science, including data collection, sample size determination, statistics test selection strategy, multilevel modeling, causal inference, and reproducible research. She provides mentorship to graduate researchers, offering guidance in analytical strategies, tools, software, and scientific communication. Her mentorship also emphasizes the ethical application of research, with the goal of enabling scholars to produce publication-quality analyses that inform evidence-based practice.