Speakers: Joshua Habiger, PhD

Joshua Habiger, PhD

Associate Professor, Department of Biostatistics
University of Kansas Medical Center


High throughput technology, such as imaging and sequencing technology, is used to generate high dimensional (HD) data sets that are rich in information.  However, this information is often difficult to extract due to the size and messy nature of the data.  For example, measurements on thousands or millions of attributes are often taken on a handful of subjects across multiple treatment groups, and data may be missing, categorical, correlated, and heterogeneous.  My personal mission is to develop and apply practical methods that efficiently and soundly extract information from HD data, and to inspire and train the next generation of statisticians who will be responsible for analyzing larger, more complex and even more exciting data.