Genevera I. Allen

Genevera I. Allen is a Professor of Statistics at Columbia University's Faculty of Arts and Sciences, with affiliations at the Zuckerman Institute for Mind, Brain, and Behavior, the Herbert and Florence Irving Institute for Cancer Dynamics, and the Center for Theoretical Neuroscience. She develops machine learning and statistical methods to uncover hidden patterns in neuroscience and biomedical datasets.

• Education: PhD in Statistics (Stanford University), BS in Statistics (Rice University)

Her research focuses on unsupervised learning, data integration, and high-dimensional statistics, with applications in brain connectivity, genomic networks, and neuroimaging. She also explores interpretable machine learning to avoid bias from preconceived hypotheses.

Notable awards include the NSF CAREER Award (2016), Forbes '30 under 30' (2014), and fellowships from the Institute of Mathematical Statistics (2024), American Statistical Association (2022), and International Statistics Institute (2021).

At Columbia, she collaborates with interdisciplinary teams to tackle complex data from neurotechnologies and genomic studies. Previously, she founded Rice University's D2K Lab for data science education and held joint appointments in Electrical and Computer Engineering and Computer Science at Rice.