Yichi Zhang

Yichi Zhang is an Assistant Professor in the Department of Statistics at Indiana University Bloomington. Previously, he was a Postdoctoral Scholar at Duke University with dual appointments in the Fuqua School of Business and Department of Biostatistics & Bioinformatics.

His academic credentials include a Ph.D. in Statistics from North Carolina State University (2023) and a B.S. in Mathematics and Applied Mathematics from Sichuan University (2018).

Professor Zhang's research centers on methodological innovation in statistical learning, with primary focus areas:

• Causal Mechanism and Causal Learning
• High-dimensional Models
• Large-scale Computations
• Randomized Algorithms
• Uncertainty Quantification

His publication trajectory (2023-2025) reveals rapid advancement in theoretical statistics and machine learning, with increasing contributions to causal inference frameworks and computational methodologies. Recent work demonstrates particular strength in adapting statistical theory to AI challenges, including large language model evaluation and network analysis.

His scholarly recognition includes:

• ASA Nonparametric Statistics Student Paper Award Finalist (2023)
• IMS Hannan Graduate Student Travel Award (2021)
• ENAR Distinguished Student Paper Award (2021)
• Mu Sigma Rho National Statistics Honor Society (2018)

As an early-career faculty member, Professor Zhang is establishing his research program while teaching core statistics courses. His active publication pipeline suggests robust research momentum, though specific grant details aren't provided. Prospective students interested in theoretical-computational statistics should contact him directly regarding advising opportunities and current projects.