演讲题目
精准健康计划中的信息学挑战

黄昆

Dr. Kun Huang received double BS degrees in Biological Sciences and Technologies and Computer Science from Tsinghua University in 1996 and his MS degrees in Physiology (1998), Electrical Engineering (2000) and Mathematics (2002) all from the University of Illinois at Urbana-Champaign (UIUC). He then received his PhD in Electrical and Computer Engineering from UIUC with a focus on computer vision and machine learning in 2004 and joined the Department of Biomedical Informatics at the Ohio State University (OSU) afterwards. At OSU he developed the imaging informatics and bioinformatics research programs and later became the Director of the Division for Computational Biology and Bioinformatics and Associate Dean for Genome Informatics in the College of Medicine. In 2017, he joined the Indiana University School of Medicine (IUSM) as the Director for Data Science and Informatics for the Precision Health Initiative (PHI). He also holds the IUSM PHI Endowed Chair for Genome Data Science and serves as Assistant Dean for Data Science in the School of Medicine. His research interests include bioinformatics, bioimage informatics, computational biology, and machine learning. He is a pioneer in computational pathology and bioimage informatics. Currently he focuses on developing integrative genomic approaches for precision medicine with applications in cancers and neurological diseases using a combination of machine learning, statistical, computational, and experimental methods. He has co-authored more than 180 research papers with many published in prestigious venues such as Science, Nature, Cell, Neuron, Nature Neuroscience, and Cancer Research.