Come and learn about postdoctoral positions in statistics, and reasons you might consider a postdoctoral position after graduation, from our panel of current and former postdoctoral fellows!
Dr. Whitney Huang, Assistant Professor, Clemson University Department of Mathematics and Statistics
Dr. Dayu Sun, Postdoctoral Fellow, Emory University Department of Biostatistics
Dr. Yibo Xu, Postdoctoral Fellow, Clemson University Department of Mathematics and Statistics
Dr. Guillermo Basulto-Elias, Center for Transportation Research and Education, Iowa State University
About the Speakers
Dr. Whitney Huang is an Assistant Professor of Applied Statistics and Data Science in the School of Mathematical and Statistical Sciences at Clemson University. Prior to this, he worked as a CANSSI Postdoctoral Fellow with the Pacific Climate Impacts Consortium and School of Earth and Ocean Sciences at the University of Victoria, and a SAMSI Postdoctoral Fellow with the Program on Mathematical and Statistical Methods for Climate and the Earth System at the University of North Carolina at Chapel Hill. He received a B.S. in Mechanical Engineering from the National Cheng Kung University, a M.S. in Statistics from The University of Akron, and a Ph.D. in Statistics from Purdue University. His research interests are statistics of extremes, spatio-temporal statistics, design and analysis of computer experiments, time-frequency analysis, multiscale statistical modeling, spatial point processes, environmental applications, and high-frequency physiological data analysis.
Dr. Dayu Sun obtained his bachelor’s and M.Phil. degrees from The Hong Kong Polytechnic University. He then received his Ph.D. in statistics from the University of Missouri. He is currently a postdoctoral fellow in Department of Biostatistics and Bioinformatics at Emory University. His research interests include advanced statistical analysis of imaging data and joint analysis of survival and longitudinal data.
Dr. Yibo Xu is a Post-doctoral Fellow in the School of Mathematical and Statistical Sciences at Clemson University since August 2021. Prior to this, he was a Postdoctoral Research Associate at Rensselaer Polytechnic Institute from 2018 to 2021. He received his Ph.D. in Mathematical Sciences from Clemson University in 2018. His research interests are in all fields of optimization, with particular emphases in continuous optimization, mixed-discrete and continuous nonconvex programming.
Dr. Guillermo Basulto-Elias is a postdoctoral research associate at the Institute for Transportation at Iowa State University. Prior to this, he held a Postdoctoral appointment in the Center for Statistics and Applications in Forensic Evidence (CSAFE) at Iowa State University. He received a BS in Mathematics and a MSc in Probability and Statistics from the University of Guanajuato, and a PhD in Statistics from Iowa State University. He has experience on statistical computing, data visualization, generalized linear mixed effects models, nonparametric statistics, machine learning, and stochastic processes.