Yuqi Shen is a graduate student in the department of Biobehavioral Health and a PAMT predoctoral fellow. She studies the day-to-day effects of modifiable behaviors (e.g., sleep, physical activity) on substance use, while applying innovative quantitative methods (e.g., multilevel latent class analysis) in capturing these associations.
Yuqi received her B.A. in Psychology from Syracuse University and her M.H.S. in Public Health from Johns Hopkins University.
About PAMT
The Prevention and Methodology Training (PAMT) program, funded by a T32 grant from the National Institute on Drug Abuse, trains predoctoral and postdoctoral researchers in the integration of prevention science and statistical methodology for the behavioral sciences.
Contact Information
yms5393@psu.edu
she/her/hers
Yuqi Shen is a graduate student in the department of Biobehavioral Health and a PAMT predoctoral fellow. She studies the day-to-day effects of modifiable behaviors (e.g., sleep, physical activity) on substance use, while applying innovative quantitative methods (e.g., multilevel latent class analysis) in capturing these associations.
Yuqi received her B.A. in Psychology from Syracuse University and her M.H.S. in Public Health from Johns Hopkins University.
About PAMT
The Prevention and Methodology Training (PAMT) program, funded by a T32 grant from the National Institute on Drug Abuse, trains predoctoral and postdoctoral researchers in the integration of prevention science and statistical methodology for the behavioral sciences.
Contact Information
yms5393@psu.edu
she/her/hers
