Genevera Allen

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Genevera Allen is an Associate Professor of Electrical and Computer Engineering at Rice University and an investigator at the Jan and Dan Duncan Neurological Research Institute at Texas Children’s Hospital and Baylor College of Medicine.

Dr. Allen’s research focuses on developing statistical machine learning tools to help people make reproducible data-driven discoveries. Her work lies in the areas of interpretable machine learning, data integration, modern multivariate analysis, and graphical models with applications in neuroscience and bioinformatics.  

In 2018, Dr. Allen founded the Rice D2K Lab, a campus hub for experiential learning and data science education. She was the Faculty Director of the D2K Lab from Fall 2018 to Spring 2022.

Dr. Allen is the recipient of several honors for both her research and teaching including a National Science Foundation Career Award, Rice University’s Duncan Achievement Award for Outstanding Faculty, and the George R. Brown School of Engineering’s Research and Teaching Excellence Award; in 2014, she was named to the “Forbes ’30 under 30′: Science and Healthcare” list.  Dr. Allen received her Ph.D. in statistics from Stanford University (2010), under the mentorship of Prof. Robert Tibshirani, and her bachelors, also in statistics, from Rice University (2006).

Research Areas

Statistical Machine Learning, Data Integration, Graphical Models, Optimization, Reproducible Data-Driven Discoveries, Applications in Neuroscience and Bioinformatics

Education

Ph.D., Statistics, Stanford University (2010)

B.A., Statistics, Rice University (2006)

Honors & Awards

2022 ASA Fellow of the American Statistical Association

Elected Member, International Statistics Institute, 2021.

Charles W. Duncan Achievement Award for Outstanding Faculty, Rice University, 2021.

Curriculum Innovation Award, George R. Brown School of Engineering, Rice University, 2020.

Research and Teaching Excellence Award, George R. Brown School of Engineering, Rice University, 2017.

NSF Career Award, 2016.

Forbes 30 under 30: Science & Healthcare, 2014.

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