Statistical Machine Learning Group
PI:
Genevera Allen
Associate Professor, Electrical and Computer Engineering, Statistics, Computer Science
Investigator, Jan and Dan Duncan Neurological Research Institute, Baylor College of Medicine
Founder, Rice D2K Lab
Postdocs:
Lili Zheng
Lili Zheng received her Ph.D. in Statistics from the University of Wisconsin-Madison, advised by Prof. Garvesh Raskutti. She is interested in statistical and optimization problems for large, high-dimensional, and dependent data.
Ph.D. Students:
Andersen Chang
Andersen Chang is a fifth year Ph.D. student in Statistics with research interests in neuroscience and graphical models.
Luqin Gan
Luqin Gan is a fourth year Ph.D. student in Statistics. Her research interests include interpretable machine learning, high-dimensional inference, and bioinformatics.
Camille Little
Camille Little is a third year Ph.D. student in Electrical and Computer Engineering. She is interested in exploring ideas in machine learning fairness.
Jiaming Liu
Jiaming Liu is a second year Ph.D. student in Statistics with research interests in high-dimensional statistics and tensor-valued data.
Debolina Halder Lina
Debolina is a second year Ph.D. student in Electrical and Computer Engineering focusing on machine learning fairness.
Undergraduate Students:
Quan Le
Quan Le is an undergraduate researcher majoring in computer science, computational and applied mathematics, and mathematics.
Zach Rewolinski
Zach Rewolinski is an undergraduate researcher who is double majoring in computer science and statistics.
Interested in joining the Statistical Machine Learning Group?
Alumni
Postdoc Alumni
Giuseppe Vinci
Giuseppe Vinci received his Ph.D. in 2017 in Statistics from Carnegie Mellon University and was a postdoctoral fellow at Rice University from 2017-2020. He is currently an Assistant Professor of Statistics at the Department of Computational and Applied Mathematics and Statistics at the University of Notre Dame. His research focuses on theory for graphical models and applications to neuroscience.
Elizabeth Sweeney
Elizabeth Sweeney received her Ph.D. in 2016 in Biostatistics from Johns Hopkins University and was a postdoctoral fellow at Rice University from 2016-2017. She is currently an Assistant Professor in the Biostatistics Division in the Population Health Sciences Department at Weill Cornell Medicine. Her research focuses on statistical analysis of structural magnetic resonance imaging data.
PhD Alumni
Tianyi Yao
Tianyi Yao received his Ph.D. in Statistics in 2022 focusing on large-scale feature selection and graphical models problems. He is now a Data Scientists at Microsoft.
Minjie Wang
Minjie Wang received his Ph.D. in Statistics in 2021 focusing on data integration and graphical models. He is now a postdoctoral fellow working with Xiaotong Shen in the Department of Statistics at the University of Minnesota.
Frederick Campbell
Frederick Campbell received his Ph.D. in Statistics in 2018 focusing on statistical problems for high-dimensional, structured data. He is now a Data Scientist at Microsoft.
John Nagorski
John Nagorski received his Ph.D. in Statistics in 2018 focusing on clustering and applications in genomics. He is now Senior Data Scientist at Encino Energy.
Yulia Hendrix
Yulia Hendrix received her Ph.D. in Statistics in 2017 focusing on mixed graphical models. She is now a Senior Product Manager at Mindbody.
Yue Hu
Yue Hu received her Ph.D. in Statistics in 2016 focusing on analysis of large, structured data. She is now the Assistant Director of Data Science at Liberty Mutual.
Manjari Narayan
Manjari Narayan received her Ph.D. in Electrical and Computer Engineering in 2016 focusing on statistical methods for analyzing neuroimaging data. She is now a postdoctoral fellow at Stanford University.
Undergraduate Alumni
Nathan Powell
Tiffany Tang – Now a Ph.D. student at UC Berkeley.
Alex Hayes – Now a Ph.D. student at University of Wisconsin.
William Deadrick
Tianyi Yao – Now a Ph.D. student at Rice University.
Joshua Lipshultz
Qijia Jiang – Now a Ph.D. student at Stanford University.
Group Affiliates & Friends:
Su Chen
Su Chen is an Assistant Teaching Professor in the Rice D2K Lab. She received her Ph.D. in Statistics and Data Science at the University of Texas at Austin. She earned her B.S. in Mathematics and her M.S in Mathematics with a focus on Actuarial Science. Her doctoral research lies in the interaction of methodology, theory and computation of Bayesian statistics and their applications to high-dimensional data analysis.
T. Mitchell Roddenberry
T. Mitchell Roddenberry received the B.Sc. degree in Computer Engineering from Florida State University in 2018. He is currently pursuing a Ph.D. degree in electrical and computer engineering at Rice University in Santiago Segarra’s group. His research interests include signal processing, network science, applied topology, and optimization.
Daniel LeJeune
Daniel LeJeune is a Ph.D. student in the Department of Electrical and Computer Engineering at Rice University under Richard G. Baraniuk. His research interests lie in the design and analysis of algorithms, in particular discovering the underlying theory behind successful algorithms. He actively collaborates with Genevera Allen’s group on the analysis of the effect of subsampling in ensemble methods, in one of his primary research areas.