Big data, high-dimensional data, machine learning, multivariate analysis, graphical models, convex optimization, distributed optimization, applications to neuroimaging, genomics & proteomics
Genevera Allen is an Associate Professor of Statistics and Electrical and Computer Engineering at Rice University. She previously held the Dobelman Family Junior Chair as Assistant Professor in Statistics. She is also a member of the Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital and Baylor College of Medicine where she holds a joint appointment. Dr. Allen received her PhD in statistics from Stanford University (2010), under the mentorship of Prof. Robert Tibshirani, and her bachelors, also in statistics, from Rice University (2006). Dr. Allen's research focuses on developing statistical methods to help scientists make sense of their 'Big Data' in applications such as high-throughput genomics and neuroimaging. Her work lies in the areas of modern multivariate analysis, graphical models, statistical machine learning, and data integration or data fusion.
The recipient of several honors including the David P. Byar Young Investigator travel award and the International Biometric Society's Young Statistician Showcase award, she also represented the American Statistical Association at the Coalition for National Science Funding on Capitol Hill in 2013 and 2014, and has had her research highlighted on the House floor in a speech by Congressman McNerney (D-CA). In 2014, Dr. Allen was named to the "Forbes '30 under 30': Science and Healthcare" list. She is also the recipient of research grant awards from the Ken Kennedy Institute for Information Technology, the National Science Foundation (NSF), and joint initiatives between NSF and the National Institutes of Health. Dr. Allen also serves as an Associated Editor for the Electronic Journal of Statistics and Biometrics.