Devika Dhamija (firstname.lastname@example.org)
Devika is a fourth-year doctoral student in Brain and Cognitive Sciences. She received an undergraduate degree in biotechnology from India and then a masters in Neuroscience from SUNY Buffalo. She joined USC in 2011 to pursue her PhD with Dr. Laura Baker as her advisor. Her substantive interests include psychophysiology of emotional processing and regulation. Devika is an avid user of SPSS, R and sometimes also uses Mx and MPLUS for her research.
Nicholas Jackson (email@example.com)
Nick is a third-year doctoral student in Quantitative Psychology. He received a Master's of Public Health in Biostatistics from the University of Arizona in 2009 and was employed as a biostatistican at the University of Pennsylvania prior to entering the psychology program. He has co-authored papers and abstracts in the fields of sleep, psycho-physiology, public health, and alternative medicine. Nick's interests are in the areas of statistical computing, research design, data management, signal processing, and exploratory data analysis. His recent focus has been on statistical methods and applications in substance use, longitudinal modeling, and exploratory data mining. Nick is a creator of specialized statistical programs for the Stata language. In addition to Stata, he is a regular user of SAS and R, and an occasional user of Mx, MPLUS, SPSS, and SigmaPlot.
Sarfaraz Serang (firstname.lastname@example.org)
Sarfaraz is a second year doctoral student in quantitative psychology under the supervision of Dr. Jack McArdle. He received his Bachelor's degree in psychology and statistics in 2012. His primary research interests include methods for longitudinal data analysis and structural equation modeling, with applications in development and education. He does most of his statistical computing in R and MPLUS, but also has experience with WinBUGS, OpenBUGS, and SPSS.
- Department of Psychology
- University of Southern California
- SGM 501
- 3620 South McClintock Ave.
- Los Angeles, CA 90089-1061
- Phone: (213) 740 - 2203