Thomas Lee

Thomas Lee leads impactful research in the realm of statistical sciences as a Professor and Associate Dean for the Faculty of Mathematical and Physical Sciences at the University of California, Davis. With a distinguished career, he has established himself as a renowned expert in Nonparametric and Semiparametric Modeling, Statistical Learning, and Statistical Image and Signal Processing. His work is characterized by a deep commitment to advancing the understanding and application of statistical methodologies. Professor Lee's research portfolio is diverse and dynamic, reflecting his broad interests in statistical applications. His recent publications have made significant contributions to the field, particularly in areas such as nonparametric modeling and matrix completion. These works not only enhance theoretical frameworks but also offer practical solutions to complex problems in statistical image and signal processing. In addition to his research, Thomas Lee is dedicated to fostering an environment of academic excellence at UC Davis. As Associate Dean, he plays a pivotal role in shaping the direction of the Faculty of Mathematical and Physical Sciences, ensuring that it remains at the forefront of innovation and discovery. His leadership is marked by a commitment to interdisciplinary collaboration and the mentorship of emerging scholars in the field. Professor Lee's contributions extend beyond academia, as he actively engages with the broader statistical community. His insights and expertise are frequently sought after in conferences and workshops, where he shares his knowledge and inspires others to explore the vast potential of statistical science. Through his work, Thomas Lee continues to push the boundaries of what is possible in statistical research, making a lasting impact on the field and its applications.