Stephen Lee

Professor Stephen Lee inspires the academic community to rethink the boundaries of statistical science through his innovative research and teaching. As a distinguished faculty member in the Department of Statistical Science at the University of Idaho, he has been a pivotal figure since joining the university in 1993. Holding a PhD in Statistics from Florida State University, Professor Lee brings a wealth of knowledge and expertise to his role, fostering a dynamic learning environment for both undergraduate and graduate students. In addition to his primary appointment, Professor Lee serves as an affiliate Professor of Bioinformatics and Computational Biology, reflecting his interdisciplinary approach to research and education. His scholarly pursuits are deeply rooted in Multivariate Analysis, Statistical Modeling and Prediction, Computational Methods, and Classification. These interests not only drive his research but also enrich the curriculum he offers, ensuring that students are well-equipped with cutting-edge statistical techniques and methodologies. Professor Lee is renowned for his commitment to teaching, offering a diverse array of courses that cater to varying levels of statistical proficiency. His pedagogical approach emphasizes the practical application of statistical theories, preparing students to tackle real-world challenges with confidence and precision. Through his mentorship, many students have gone on to pursue successful careers in academia, industry, and research. Beyond his teaching and research, Professor Lee is actively involved in the academic community, contributing to numerous conferences and workshops. His work has been published in several prestigious journals, further cementing his reputation as a leader in the field of statistical science. His dedication to advancing the discipline is evident in his ongoing efforts to collaborate with fellow researchers and engage in projects that push the boundaries of traditional statistical analysis. Professor Lee's influence extends beyond the classroom and research lab, as he continually seeks to inspire the next generation of statisticians and data scientists. His passion for the subject and unwavering commitment to academic excellence make him a valued member of the University of Idaho's faculty and a respected figure in the broader statistical community.