Jingshu Wang

Professor at the forefront of studies in statistical genetics and biotechnologies, Jingshu Wang serves as an Assistant Professor in the Department of Statistics and the College at the University of Chicago. With a keen interest in the intersection of statistics and biology, Professor Wang is dedicated to advancing the field through innovative research and methodological development. Their research primarily focuses on creating and refining statistical methods to address complex genetic and biotechnological challenges. This includes pioneering work in single-cell omics, which allows for the examination of individual cell differences, and Mendelian Randomization, a technique used to infer causal relationships in genetic epidemiology. Additionally, Professor Wang explores structural variation within the 3D genome, aiming to understand how these variations impact genetic expression and function. Beyond these specialized areas, Professor Wang is also deeply engaged in broader statistical methodologies, particularly in causal inference and hypothesis testing. Their work in these areas contributes significantly to the fields of genetics and public health, providing robust tools and frameworks for researchers to draw meaningful conclusions from complex data sets. At the University of Chicago, Professor Wang is not only committed to research but also to teaching and mentoring the next generation of statisticians and geneticists. Their dedication to education and research excellence makes them a valuable asset to the academic community and a leader in their field.