Dr. Guan-Hua Huang joined the faculty of the National Chiao Tung University in 2003. He received his Ph.D. in Biostatistics from the Johns Hopkins School of Public Health. Dr. Huang is a Professor in the Institute of Statistics and an Adjunct Professor in the Institute of Data Science and Engineering. Between 2000-2003, he was an Assistant Professor in the Department of Population Health Sciences and also held a joint appointment with the Department of Biostatistics and Medical Informatics at the University of Wisconsin-Madison.

Dr. Huang's current research focuses on applying the state-of-the-art deep learning approaches to analyze different types of medical imaging for the application of image classification and object detection and segmentation.

Dr. Huang's statistical methodology research is informed by the fact that in many medical studies, the definitive outcome is inaccessible, and a valid surrogate endpoint is then measured in place of the clinically most meaningful endpoint. Therefore, his primary research interest is in developing latent variable/class models for analyzing this kind of data structure.

Dr. Huang is also interested in statistical problems in genetics, genomics, and bioinformatics. He is particularly interested in statistical validation of endophenotypes, high-throughput genomic data analysis, gene-gene interaction detection, next-generation sequencing data analysis, and copy number variation identification.

Dr. Huang is deeply invested in many scientific areas, including aging, nursing, schizophrenia, diabetes, sensory impairments (hearing, vision, olfaction), data science, and medical image analysis.

 
 

last updated February 10, 2023
ghuang@nycu.edu.tw