Posted on February 25, 2024
A scientific paper on Epilepsy published by Annals of Neurology.
Posted on September 12, 2023
Our Tree Lasso paper is published in Biometrics.
Posted on September 4, 2023
Front. Big Data published our grpahical modeling method paper for EHR.
Posted on May 11, 2023
Our first Epilepsy paper is published in the “leading, authoritative” journal Epilepsia.
Posted on April 20, 2023
Our paper on simulating bad (intentionally) contours from cancer CT scans is published in JACMP.
Posted on October 14, 2022
Our Mutlilevel Mediation paper is to appear in CSDA. The R package is available on CRAN. This is a joint work with Yi Zhao from Indiana University. Yi also won ENAR student paper award for an earlier draft of this paper.
Posted on September 1, 2022
Congratulations to Yi Zhao for the 5-year NIH R01 grant on method development. Awesome news for the future collaborations with you and Brian!
Posted on July 12, 2022
Alcohol and Cannabis co-use paper is to appear in Addiction Biology. Joint work with James Yang and Anne Buu (UT Health), Elisa Trucco (FIU), and Chiang-shan R. Li (Yale).
Posted on January 10, 2022
Polygenic Risk Prediction paper is to appear in BMC Bioinformatics. Joint work with James Yang and Anne Buu (UT Health) and Elisa Trucco (FIU).
Posted on September 14, 2021
Our high-dimensional “CAP regression” theory paper is to appear in Electron. J. Statist.. This is a joint work with Yi Zhao from Indiana University, and Brian Caffo from Johns Hopkins.
Posted on August 11, 2021
Our Pathway Lasso paper is to appear in Stat and Its Interface. The R package is available on Github. This is a joint work with Yi Zhao from Indiana University. Yi also won several student paper awards for an earlier draft of this paper from several conferences.
Posted on November 18, 2020
Our paper on a whole-brain “CAP regression” is to appear in Brain and Behavior. This is a joint work with my wonderful collaborators Yi Zhao from Indiana University, Bingkai Wang and Brian Caffo from Johns Hopkins, and Chiang-shan R. Li from Yale University.
Posted on December 12, 2019
Our paper on “CAP regression” is to appear in Biostatistics, with an R package here. This is a joint work with my wonderful collaborators Yi Zhao from Indiana University, and Bingkai Wang, Stewart Mostofsky, and Brian Caffo from Johns Hopkins.
Posted on May 9, 2019
Congratulations to Jun Ke for defending his excellect PhD thesis. Best wishes for your bright future! Will miss working with you.
Posted on April 22, 2019
Congratulations to Yi Zhao for her paper on “Granger Mediation” to appear in Biometrics, with an R package here. Yi is going to be a TT Assistant Professor at Indiana University. So proud of you!
Posted on February 5, 2019
Congratulations to Xuefei Cao for her first paper on ODE based causal networks to appear in Frontiers in Neuroscience. Xuefei also wrote a nice PyPI package available here.
Posted on December 14, 2018
Our COD paper on variable clustering is to appear in The Annals of Statistics. Here are the preprint and software.
Posted on October 13, 2018
Our research work on mobile phone data modeling reported by Boston Globe.
Posted on April 19, 2018
PhD student Xuefei Cao’s poster is selected to present at OHBM 2018.
Posted on April 1, 2018
Our group with PIs Dr Simin Liu and Dr Xiaochen Lin received two highly competitive AHA grants to use machine learning to uncover new patterns in cardiovascular disease.
Posted on January 16, 2018
Congratulations to Xuefei Cao (PhD student) for winning a honorable mention for the Student Paper competition from the Mental Health Section of the American Statistical Association!
Posted on February 15, 2017
Congratulations to Yi Zhao (PhD student) for winning a Student Paper Award from the Mental Health Section of the American Statistical Association! She will present our paper at the 2017 Joint Statistics Meetings. She was also nominated for an award from the Statistics in Imaging Section of the American Statistical Association, but had to decline following the one-award policy.
Posted on November 1, 2016
Yi Zhao (PhD student) received a Travel Award to present a poster of our paper at the Women in Machine Learning Workshop. Congratulations!
Posted on October 1, 2016
Our group received an NIH R01 grant under the BRAIN intiative. This support will help us develop big data methods for large neuroimaging data.
Posted on April 10, 2016
Yi Zhao (PhD student) received a Travel Award to present our paper at Challenges & Advances on Big Data in Neuroimaging conference. Congratulations!
Posted on February 1, 2016
PhD student Mary Lacy’s paper on predicting diabetes diagnosis is highlighted by Nature Reviews.
Posted on September 1, 2015
Our ABCD group received an NSF award, in partnership with the NIH Big Data to Knowledge initiative, on methods for Big Biomedical Data!
Posted on April 20, 2015
Yi Zhao (PhD student) won Runner up for Best Research Poster Award by PhD students, postdocs, and trainees, Public Health Research Day, School of Public Health, Brown University, 2015.
Posted on April 1, 2014
Yi Zhao (PhD student) won 2015 ENAR Distinguished Student Paper Award, from the Eastern North American Region of The International Biometric Society. The paper is coauthored by Zhao and Luo.
Posted on March 1, 2014
Abi Kulshreshtha (Undergraduate, ‘15) was elected as 2015 Rhodes Scholar.
Posted on February 1, 2014
Abi Kulshreshtha (Undergraduate, ‘15) won CFAR Undergraduate Research Internship Award from Brown/Tufts/Lifespan CFAR, for his work on a Data Science project in my group.
Posted on January 1, 2014
Ekaterina Kryuchkova (Undergraduate, ‘17) was selected to attend Summer Space Program in Moscow, RUSSIA.
Posted on January 1, 2013
Xiaoxing Chen (Masters student) received Brain Science Research Award, from Brown Institute for Brain Science at Brown University. The co-mentors for this award are Prof Jerome Sanes and Luo.
Posted on April 20, 2012
Ye Xu (Masters student) won Best Graduate Research Poster Award, from Public Health Program of Brown University. The coauthors of the poster are Xu Ye, Xi Luo, Austin Huang, Joseph Hogan, and Rami Kantor.