I am a Professor in the Department of Psychology and the Phil F. Jenkins Research Professor of Depression in the Eisenberg Family Depression Center at the University of Michigan. My teaching interests include longitudinal methods, structural equation modeling, and intensive longitudinal design. I have 10 years experience teaching advanced graduate statistics and in 2016 I started the Pittsburgh Summer Methodology Series of workshops that I coordinated and taught in before co-founding SMaRT Workshops in 2024. I’m also currently the Editor of the Journal of Psychopathology and Clinical Science (formerly Journal of Abnormal Psychology) and co-edited the Cambridge Handbook of Research Methods in Clinical Psychology.

I am an Assistant Professor in the Department of Psychology at the University of Kansas, where I direct the Brain, Behavior, and Quantitative Science doctoral program and the Kansas Data Science Consortium. My teaching interests revolve around data science techniques using the R statistical computing platform. I have a passion for teaching and have developed numerous graduate courses in statistics and data science. I was one of the first instructors at the Pittsburgh Summer Methodology Series and am a co-founder of SMaRT Workshops. I work in the interdisciplinary space between psychology, psychiatry, and computer science and am an Associate Editor at the IEEE Transactions on Affective Computing journal.

I am a Professor and Associate Chair for Academic Affairs in the Department of Biostatistics at the University of Michigan. My teaching interests include the design and analysis of clinical trials, in particular sequential, multiple assignment, randomized trials (SMARTs) and other more novel and pragmatic designs. I have over 12 years of experience teaching biostatistics to a wide variety of audiences, from PhD biostatisticians to clinical scientists who loathe statistics. I am currently the PI of two clinical trials methods development grants from PCORI and FDA, co-investigator on numerous NIH and PCORI-funded trial grants, and on the Clinical Trials Advisory Panel for PCORI.

Alex is a clinical psychologist and behavioral geneticist working as the Diamond Distinguished Endowed Professor of Psychology at Michigan State University. She received her degree in both specialties from the University of Minnesota in the spring of 2004. Her research interests center on the role of genotype-environment interplay in the development of youth mental health, and more recently, the development of resilience in the face of environmental adversity. As part of this work, she has pioneered the development of several new family-based models, with a focus on more definitely identifying effects of the environment over and above family confounds. She has published more than 240 peer-reviewed articles and has been continuously funded by the NIH since 2008. She currently serves as Associate Editor at Psychological Bulletin, and has won several awards for her research, including one from the Federation of Brain and Behavioral Sciences (FABBS).

D. Angus Clark is a Data Scientist at Leidos Inc., where he supports the Naval Submarine Medical Research Laboratory in Groton, Connecticut. His background is in developmental, personality, and quantitative psychology, and his current research focuses on how psychological factors predict well-being, career success, and operational effectiveness in the Submarine Force. His primary methodological interests include: structural equation modeling, multilevel modeling, item response modeling, and interpretable machine learning. He also has considerable experience applying biometric models to an array of developmental topics (e.g., adolescent behavior, intergenerational transmission of psychopathology), and synthesizing biometric and non-biometric modeling techniques to draw more powerful influences about development (e.g., genetically informed growth models with structured residuals).

Kathryn Fox is a licensed clinical psychologist and Assistant Professor in the Department of Psychology at the University of Denver. Her research seeks to better understand and treat suicide and self-harming thoughts and behaviors, broadly defined, especially among teens. Her work takes multiple approaches toward this aim, and she has helped to spearhead methods to improve research methods in this space.

Katie Gates is an associate professor of Quantitative Psychology in the Department of Psychology and Neuroscience at the University of North Carolina at Chapel Hill. Katie’s work is motivated by problems in analyzing individual-level data. She develops algorithms and programs that may aid researchers in better quantifying behavioral, psychophysiological, and emotional processes across time. The end goal is to help researchers identify patterns within individuals so we can provide person-specific prevention, treatment, and intervention protocols as well as better understand the varied basic physiological underpinnings for emotions, cognition, and behaviors.

Amie M. Gordon is an Assistant Professor of Social Psychology at the University of Michigan. Amie received her PhD in Social-Personality Psychology from UC Berkeley as well as several years of postdoctoral training in Health Psychology at the University of California, San Francisco. Amie’s research focuses on understanding the social cognitive, affective, and biological factors that shape our closest relationships. Her work takes a dyadic perspective, exploring how people influence each other both in the moment and over time. She also explores distinctively dyadic outcomes—how interpersonal relationships are shaped not by each individual alone but by the unique ways in which people interact with each other. Amie’s research draws upon a variety of methods, including experimental, observational, longitudinal (including daily experience), and physiological, to capture people at multiple levels analysis. Amie has been teaching psychological statistics for over a decade, including developing and leading national and international workshops on multilevel modeling and dyadic analysis. She is also the co-author (with Kate Thorson) of the longitudinal design and analysis chapter for the upcoming edition of the Handbook of Research Methods in Social and Personality Psychology.

Sara K. Johnson, PhD, is Associate Professor in the Eliot-Pearson Department of Child Study and Human Development. She has extensive experience teaching semester-long courses in both foundational (Regression) and advanced (Structural Equation Modeling, Multilevel Modeling) statistical analysis techniques. Many of her published works have involved mixture model techniques such as latent profile analysis and growth mixture modeling, and she is the author of the popular “Latent Profile Transition Analysis and Growth Mixture Modeling: A Very Non-Technical Guide for Researchers in Child and Adolescent Development, which appeared in New Directions in Child and Adolescent Development in 2021. She has taught webinars and multi-day workshops on latent profile analyses and related techniques since 2016.

Kevin M. King is a Professor of Child Clinical Psychology at the University of Washington. His substantive research focuses on the development of alcohol and cannabis use and related problems in adolescence and young adulthood, primarily using longitudinal methods such as EMA. His methodological expertise focuses on the analysis of longitudinal models, with a specific focus on estimating, modeling, and interpreting nonlinear outcomes (e.g. logistic, Poisson, negative binomial models). He has written reviews and tutorials on the design and analysis of longitudinal studies, as well as tutorials and developed novel methods for analyzing and interpreting models for nonlinear outcomes, including testing and estimation of interactions for both linear and nonlinear outcomes.

Sandra Lee is a statistical consultant at the University of North Carolina Chapel Hill Odum Institute where she teaches short courses and assists students, staff and faculty with conducting statistical analysis. She obtained a PhD in Quantitative Psychology at UNC. Prior to her PhD, she earned an SM in public health from Harvard School of Public Health with a focus on epidemiology and the social determinants of health. In-between her PhD and Master’s degree, she worked for a decade in various public health analyst roles conducting applied quantitative and qualitative research aimed at informing public health policy, practice and intervention evaluations. In addition to conducting traditional health services research and evaluation, she garnered experience in conducting community-based participatory research and formative evaluation. Her quantitative research interest is in the application of longitudinal and time series methods for studying within-person processes and within-person change.

Craig Rodriguez-Seijas, Ph.D. is an Assistant Professor in the Clinical Science area at the University of Michigan. As PI of the Stigma, Psychopathology, & Assessment (SPLAT) Lab, his research interests lie in understanding dimensional models of psychopathology, and applying them to improve assessment, conceptualization, and intervention among marginalized populations. He currently co-chairs the Hierarchical Taxonomy of Psychopathology (HiTOP) Consortium Diversity, Equity, and Inclusion Workgroup. In addition, he collects data from LGBTQ+ individuals within his lab, with particular focus on ensuring diversity within LGBTQ+ samples being collected in terms of ethnoracial identity, sex assigned at birth, and gender identity. He has been a reviewer for >20 scientific journals; is a consulting editor for Assessment, Journal of Psychopathology & Clinical Science, and Clinical Psychological Science; has been an Editorial Fellow for the Journal of Psychopathology & Clinical Science; and co-edited a Special Issue for Clinical Psychological Science squarely devoted to advancing mental health equity through psychological science.

Kate Thorson is an Assistant Professor in the Department of Psychology at Barnard College, Columbia University. She received her PhD in Psychology from New York University, with a major in social psychology and a minor in quantitative psychology. Broadly, Kate’s research examines human social interaction. She is interested in understanding how people think, feel, and behave when they interact with others, as well as how people's experiences and behaviors are influenced by their interaction partners. Her research examines how people's experiences and behaviors change over time within individual interactions (for example, from one minute to the next) and also how people's experiences fluctuate across repeated interactions with the same partner (for example, from week to week). Much of her current research focuses on the development of physiological synchrony between interaction partners, interpersonal emotion sharing and regulation, and communication within cross-group relationships. Kate’s work investigates social interaction in the lab and in more naturalistic settings, and her work uses many methodological tools, including experiments, behavioral observation, psychophysiology, experience sampling, spoken language processing, dyadic data analysis, and intensive longitudinal methods. She has given international workshops on quantitative methods and teaches Statistics at Barnard. She is also the co-author (with Amie Gordon) of the longitudinal design and analysis chapter for the upcoming edition of the Handbook of Research Methods in Social and Personality Psychology.

Cclin Vize is currently an assistant research professor of psychology at the University of Pittsburgh. He trained as a clinical psychologist and my research is primarily focused on harmful interpersonal behavior (e.g., aggression). His research integrates cutting edge data capture techniques (e.g., ambulatory assessment), advanced quantitative methods, and open science approaches to explore research questions related to personality and harmful interpersonal behaviors. He also serves as a statistical consultant within the department of psychology at the University of Pittsburgh, providing consultation to both faculty and graduate students. His research training has also led to a sustained interest in meta-analytic methods. To date, he has published five first-author meta-analytic studies employing a range of meta-analytic techniques including Bayesian meta-analysis and meta-analytic structural equation modeling.

Shirley Wang is an incoming Assistant Professor in the Department of Psychology at Yale University. She will receive her PhD in Clinical Psychology, with a secondary concentration in Computational Science and Engineering, from Harvard University in 2024. Shirley’s research aims to develop and harness methods that can capture and model the immense complexity of psychopathology, with a focus on suicide, nonsuicidal self-injury, and eating disorders. Her teaching interests are in statistical, computational, and clinical research methods, including machine learning, intensive longitudinal methods, and working with high-risk clinical populations. Shirley has experience teaching introductory and advanced statistics and methods to a range of audiences (including courses, workshops, and webinars) since 2019, and has taught multi-day workshops through the Pitt Methods since 2021.