Recent Group News
April 2023
Congrats to Luqin Gan for successfully defending her thesis!
September 2022
Congrats to Andersen Chang for successfully defending his thesis!
August 2022
Genevera receives a new NSF grant to study minipatch ensemble learning.
May 2022
Genevera has been elected a Fellow of the American Statistical Association for her contributions to statistical learning, leadership in data science education, and service to the profession.
May 2022
Congrats to Tianyi Yao for successfully defending his thesis!
January 2022
Quan Le and Zach Rewolinski’s project “BakerRipley Challenge: Houston Redistricting” won first place in Rice Datathon 2022.
December 2021
Luqin Gan receives the Ken Kennedy Institute Shell Graduate Fellowship.
September 2021
Two recent Data Integration papers published in the Journal of Machine Learning Research.
Check out the work on Integrated PCA by alum Tiffany Tang and on Integrative Clustering by alum Minjie Wang.
July 2021
Genevera receives a JP Morgan Faculty Research Award to study interpretability and fairness in machine learning.
June 2021
Welcome to Lili Zheng who is joining our group as a postdoctoral fellow from the University of Wisconsin!
May 2021
Congrats to Minjie Wang for successfully defending his thesis!
Minjie will start a postdoc position in the Department of Statistics at the University of Minnesota.
April 2021
Congrats to Camille Little for being awarded an NSF Graduate Research Fellowship!
Camille is developing approaches to improve fairness in machine learning.
April 2021
Genevera receives the Charles W. Duncan Achievement Award for Outstanding Faculty at Rice University.
In the Media
Why a data scientist warns against always trusting AI’s scientific discoveries
Data-mining algorithms aren’t good at communicating uncertainty in results, Genevera Allen says. Read More >
AAAS: Machine learning 'causing science crisis'
Machine-learning techniques used by thousands of scientists to analyse data are producing results that are misleading and often completely wrong. Dr. Allen said that the increased use of such systems was contributing to a “crisis in science”. Read More >
Rice statistician’s warning about machine learning grabs headlines around the globe
Q&A with Genevera Allen, who cautions that research is key to improving machine learning reproducibility. Read More >
Rice launches first-of-its-kind data science center
D2K Lab students will work directly with clients to make an impact through data. Read More >
Socially Responsible Artificial Intelligence
In the recent Rice Engineering Research Talks, Genevera gave an insightful talk on Socially Responsible AI: Using AI systems for good to solve critical societal challenges. Read More >