Welcome

Welcome to my homepage! Our work is supported by NIH 1R21TR006241-01 (PI) and CFAR Developmental Collaborative Award (MPI).

My name is Huimin (Anna) Cheng. I am an Assistant Professor in the Department of Biostatistics at Boston University. I am awarded the Rafik B. Hariri Junior Faculty Fellow. I am affiliated with the Rafik B. Hariri Institute for Computing and Computational Science Engineering and Nanotechnology Innovation Center at Boston University. I received my Ph.D. in statistics from the University of Georgia in 2023. I am very fortunate to be supervised by  Professor Wenxuan Zhong and Professor Ping Ma. 

My research develops machine learning and AI methods grounded in statistical network analysis, with a focus on trustworthy large language models, knowledge graphs, and AI for health. On the methodology side, I study the statistical foundations of networks and knowledge graphs, with recent work on network causal inference, graphon cross-validation, network tight community detection, and transfer learning on graphs. I use these tools to characterize and mitigate hallucination in LLMs and to study LLM alignment and evaluation at scale. I also build deep learning methods for AI in health, including medical imaging, spatial transcriptomics, EEG and wearable-device data including continuous glucose monitoring.