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Bayesian Inference and Applications

Dr.Jing Zhang
GSU Dept of Mathematics
Friday, April 8, 2016 - 3:00pm to 4:00pm
25 Park Place, Suite 755

In this talk I will discuss Bayesian inference and some of its recent well-known applications. I will start with several quotes from New Scientist and Nature about Bayesian inference in modern high-tech science (machine learning, artificial intelligence), and then show some famous Bayesian applications, including Bayesian prediction of the U.S. elections of 2008 and 2012, and IBM’s Using Big Data to Invent Creative Recipes. Then I will go into detail about a very simple example of Bayesian inference. Finally, I will introduce Bayesian networks and their use in the next generation of pocket medical diagnostic tools (which are expected to replace “Dr. Google”). If we have enough time I will introduce my own research, which uses Bayesian inference in HIV drug resistance and genetic disease association

Speaker's Bio: 

About the Speaker: Dr. Jing Zhang joined GSU’s Department of Mathematics and Statistics as a tenure-track assistant professor in August 2014. She obtained the Ph.D. degree from Harvard University in 2009. From 2009 to 2010 she was a postdoc at Harvard. From 2010 to 2014, she was an assistant professor at Yale University. Dr. Zhang’s research interests include Bayesian inference on complicated interactions, big data analysis, neuroimage analysis, brain mapping, functional brain imaging analysis, statistical genetics, epigenetics, computational virology, Bayesian networks, graph models, and computational neuroscience. Dr. Zhang has published over 40 peer-reviewed papers. She received Seessel Awards at Yale University from 2010 to 2013. She is currently the lead guest editor for a special issue of IEEE/ACM Transactions on Computational Biology and Bioinformatics. She is also on the editorial board of the Journal of Proteome Science and Computational Biology and the American Journal of Biostatistics.