I’m an Assistant Professor of Psychology (clinical science area) at University of California, Berkeley. I run the Clinical Research on Externalizing and Addiction Mechanisms (C.R.E.A.M.) Lab. My program of research is dedicated to a comprehensive, ontogenetic account of the etiology of addiction. By this, I mean that I want to understand the spectrum of risk for addiction all the way from liabilities for addiction - dispositional factors the predate use of substances - as well as consequences of chronic, heavy use that maintain a Substance Use Disorder. Two of the dispositional liabilities I’ve spent most time working on thus far are disinhibition and reward sensitivity. I particularly have interests in (1) how these dispositional traits may interact to predict alcohol and substance use disorders, (2) bridging between- and within-subject mechanisms of risk for problematic consumption using ambulatory assessment techniques, and (3) evaluating and improving the generalizability and applicability of models of addiction to minoritized and socioeconomically-disadvantaged populations.
I enjoy all things psychological science, and am also interested in broad psychopathology classification issues (e.g., very pro-Hierachical Taxonomy of Psychopathology [HiTOP]). I have particular expertise in electroencephalography/event-related potentials (EEG/ERPs), behavioral genetics, and advanced quantitative methods.
Note: I will be accepting a graduate student in the Clinical Science area at UC Berkeley for the Fall 2024 cycle. See https://joynerlab.berkeley.edu/prospective-graduate-students/ for more information for prospective applicants specifically.
PhD in Clinical Psychology, 2021
Florida State University
MS in Clinical Psychology, 2018
Florida State University
BA in Psychology, 2015
University of Memphis
25% Skill, 25% Googling, 50% promising your firstborn to the ggplot overlords
Quantitative background in an array of multivariate analysis techniques: e.g., Correlational and Regression-based techniques, Structural Equation Modeling, Item Response Theory, Basic Machine Learning Methods (CART, Random Forest), etc.
Extensive training on the collection and analysis of electroencephalographic [EEG] data and the event-related potential [ERP] technique