Our project on “Integrative Learning of Fluorescence Fluctuations in Perovskite Quantum Dots Using A Data Science Assisted Single-Particle Approach” has been funded by NSF. This is a collaboration between Dr. Jing Zhao (PI) from UConn Chemistry, Dr. Chen (Co-PI) from UConn Stat, and Dr. Ou Chen (Co-PI) from Brown Chemistry. Our long-term goal is to integrate materials science, single-particle spectroscopy, and modern data science approaches to develop and characterize QDs for desired applications.
Author: Chen, Kun
Chen elected Fellow of the American Statistical Association
Dr. Kun Chen has been elected as a Fellow of the American Statistical Association (ASA)!
The Designation of ASA Fellow has been a significant honor for nearly 100 years.
Our work on fusion-based suicide prediction is featured in JAMIA
Our work on using fusion learning t0 build suicide risk prediction models for diverse clinical settings (link) is featured in the most recent issue of the Journal of the American Medical Informatics Association (JAMIA).
Here is the Editorial by JAMIA editor Suzanne Bakken: Addressing Consequential Public Health Problems Through Informatics and Data Science.
Congratulations to the team!
Bruce Jin received an Honorable Mention from ASA Student Paper Competition
Congratulations to Jun (Bruce) Jin for receiving an Honorable Mention from the 2022 ASA Section on Risk Analysis Student Paper Competition! His work is on transfer learning for high-dimensional quantile regression with applications in EHR-based suicide risk assessment and prediction.
Biju Wang defended his thesis. Congratulations, Dr. Wang!
On July 22, Ph.D. student Biju Wang successfully defended his thesis entitled “On Targeted Integrative Learning via Distance Segmented Regression”. The defense took place online via WebEx and was attended by many students and faculty members. Biju’s committee consists of Drs. Kun Chen, James Grady, Yuwen Gu, Yang Song, and Jun Yan. Thank you all for your support!
After graduation, Biju will join Johnson & Johnson.
Congratulations, Dr. Wang!
Wanwan Xu defended her thesis. Congratulations, Dr. Xu!
On June 24, Ph.D. student Wanwan Xu successfully defended her thesis entitled “Topics on Statistical Data Fusion with Public Health Applications”. The defense took place online via WebEx and was attended by many students and faculty members. Wanwan’s committee consists of Drs. Robert Aseltine, Kun Chen, Yuwen Gu, and Jun Yan. Thank you all for your support!
After graduation, Wanwan will be a Post-Doc at the Department of Biostatistics at Yale University.
Congratulations, Dr. Xu!
Yan Li defended his thesis. Congratulations, Dr. Li!
On June 23, Ph.D. student Yan Li successfully defended his thesis entitled “Amalgamation-Based Statistical Learning for Compositional Data”. The defense took place online via WebEx and was attended by many students and faculty members. Yan is co-advised by Drs. Kun Chen and Jun Yan, and his committee consists of Drs. Robert Aseltine, Kun Chen, Elizabeth Schifano, and Jun Yan. Thank you all for your support.
After graduation, Yan will be a Post-Doc at the Department of Biostatistics at the University of Michigan.
Congratulations, Dr. Li!
Our big data research is featured on UConn Today
Our big data research is featured on UConn Today:
The Study of Big Data: How CLAS Researchers Use Data Science
Chen has been elected as Program Chair-Elect for the ASA Statistical Computing Section
Chen has been elected as Program Chair-Elect 2022 for the ASA Statistical Computing Section.
Zhe Sun defended her thesis. Congratulations, Dr. Sun!
On April 14, Ph.D. student Zhe Sun successfully defended her thesis entitled “On Statistical Modeling of Longitudinal Compositional Data with Applications in a Preterm Infant Study”. The defense took place online via WebEx and was attended by more than thirty students and faculty members. Zhe’s committee consists of Drs. Kun Chen, Ming-Hui Chen, and Zhiyi Chi. Thank you all for your support.
Congratulations, Dr. Sun!
