Boyuan Zhang is a Graduate Coach and an elite computational scientist whose academic trajectory spans three of the world’s most prestigious research institutions. Boyuan completed his undergraduate studies at New York University, earning a B.A. in Computer and Data Science with double minors in Mathematics and Business Studies. He then pursued advanced quantitative mastery at Stanford University, graduating with an M.S. in Statistics, before arriving at Johns Hopkins University to complete his Ph.D. in Computer Science.
Boyuan’s academic and research portfolio centers on developing highly sophisticated machine learning models, statistical methods, and data science pipelines to optimize decision-making and evaluation frameworks. A true interdisciplinary researcher, his work has addressed complex real-world challenges across healthcare, public policy, and the social sciences. He has led data-driven research projects spanning eviction-related demographic mobility analysis, kidney allocation algorithms, advanced omics studies, and computational cancer immunotherapy.
As a Graduate Coach, Boyuan possesses an exceptional understanding of how to weave diverse coursework, high-level lab research, data science internships, and personal academic passions into a flawless institutional narrative. He applies a rigorous, analytical approach to the admissions lifecycle, helping applicants refine their technical research direction and polish their writing. He is uniquely skilled at coaching STEM, statistics, and computer science candidates on how to communicate their quantitative goals with absolute precision, clarity, and undeniable program fit for top-tier graduate schools.
