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Huimin Cheng is an Assistant Professor at Boston University's School of Public Health, specializing in Biostatistics. With a PhD from the University of Georgia, Huimin's interdisciplinary research encompasses diverse methodologies. His work prominently includes machine learning, statistical network analysis, deep learning, and causal inference. Cheng is adept in developing innovative methods for network cross-validation and ANOVA, particularly focusing on non-parametric and parametric perspectives. His collaborative research features engagements with biophysicists, engineers, and political scientists, addressing complex scientific questions. Notable projects include analyzing single-molecule force spectroscopy for transcription factor-DNA interactions, examining transnational advocacy networks in political science, applying techniques to smart grid anomaly detection, promoting public health bioinformatics approaches for diseases like gastric cancer, and enhancing smart city transportation networks. Huimin has received prestigious awards, including the Southeastern Conference Emerging Scholars Award and the 1st Place Student Poster Presentation Award at the Georgia Statistics Day.
Department of Law offers JD, LLM, and Master's in Study of Tax Law.