Emilio Ferrer is a Professor in the Department of Psychology at the University of California, Davis and a member of the Graduate Groups in Biostatistics, Education, and Human Development. His research interests include methods to analyze change and intra-individual variability, in particular latent change models and dynamical systems. His current research in this area involves techniques to model dyadic interactions as well as multivariate processes associated with reasoning and reading achievement from childhood to adolescence. His projects in these two areas are funded by NSF and NIH, respectively. He is an Associate Editor of Psychological Methods and Multivariate Behavioral Research, and is co-editor of the books Longitudinal Multivariate Psychology and Statistical Methods for Modeling Human Dynamics. In 2013 he received the Raymond B. Cattell Research Award for contributions to multivariate psychology.

Samuel Aragones (sdaragones@ucdavis.edu) is a 2nd year Ph.D. student who is interested in studying social interactions through psychological datasets. He obtained his bachelor's degree from UCLA in 2018 and has spent time working with scRNA-seq data to analyze and develop methods for differentiating cell types and cell populations at Eric Deeds’s Lab at UCLA. Apart from research, he enjoys rock climbing, boba, and games of any sort! 

Rohit Batra (rbat@ucdavis.edu) is a 4th-year Ph.D. student in Quantitative Psychology working on developing continuous-time dynamic models to better understand psychological processes. He grew up in Delhi, India, and received his undergraduate degree in Statistics from the University of Delhi. He also lived in Singapore for two years and received his Master’s in Science in Statistics from The National University of Singapore. Currently, his research interests are interaction of timescales for a psychological process, understanding the consequences of sampling on continuous-time models, and modeling measurement confounds such as retest effects in longitudinal models of change. Outside of research, he's a cinephile at heart and an avid cook, he's working on completing his watchlist (which never ends!).

Simran Johal (skjohal@ucdavis.edu) is a 4th-year Ph.D. student in Quantitative Psychology at the University of California, Davis. She obtained her bachelor’s degree in Psychology and Statistics from UC Davis in 2019. In the lab, Simran is currently interested in (intensive) longitudinal data analysis (such as the consequences of cohort effects on longitudinal models and the use of continuous time models), network models, and the combination of the two. Outside of the lab, she spends her free time baking, sewing, and rock climbing!