Generate a tailored SOP for Dr. Holden Lee. Improve your application with a focused, well-structured draft.
Holden Lee is an assistant professor in the Department of Applied Mathematics and Statistics at Johns Hopkins University. He holds a Ph.D. in Mathematics from Princeton University, which he received in 2019, under the supervision of Sanjeev Arora. His research interests focus on machine learning and applied probability, reflecting a deep engagement with the mathematical foundations of artificial intelligence. In addition to his research, Holden is passionate about education and mathematics writing, advocating for a precise and inquisitive approach to learning. Throughout his academic journey, he has held positions such as a Research Assistant Professor at Duke University, and a fellow at UC Berkeley. In his teaching roles, he has taught various courses including Probability Theory and Numerical Analysis, fostering a collaborative learning environment and encouraging students to explore complex mathematical concepts. Through his website, he shares insights, research findings, and resources for students and educators alike, embodying his belief in the importance of communication in mathematics. Holden is committed to making math accessible and relevant, and he invites engagement and dialogues from those interested in mathematics and related fields.
Johns Hopkins University • Baltimore, MD
Teaching courses in applied mathematics and statistics while conducting research in machine learning and applied probability.
Duke University • Durham, NC
Supervised by Jianfeng Lu and Rong Ge, focused on research in mathematics.
University of California, Berkeley • Berkeley, CA
Fellowship position focusing on collaborative research in mathematics.
Department of Pathology - PhD in Pathobiology. GRE is not required.