I am a Professor in the Departments of Psychology and Psychiatry 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. My teaching and mentoring in quantitative methodology was recognized by the American Psychological Association’s Division 5 (Quantitative and Qualitative Methods) Jacob Cohen Award for Distinguished Contributions to Teaching and Mentoring.

I am an Associate 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 13 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, on the Clinical Trials Advisory Panel for PCORI, and Board of Directors for the Society of Clinical Trials.

Dr. Alex Burt is the Diamond Distinguished Endowed Professor of Psychology at Michigan State University. She secured her first NIH R01 in 2008, just four years after earning her PhD. She has been continuously funded by the NIH since that time, with an overall grant hit rate of ~85% (i.e., 85% of the grants she has submitted have eventually been funded). She currently leads multiple R01 grants as PI or co-PI, and serves on several others as a co-I. She has been helping other faculty develop their own NIH grantsmanship skills for roughly 5 years and has loved every minute of it!

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.

Oscar Kjell is an Associate Professor at the Department of Psychology, Lund University, and Co-Director of the Human Language Analysis Beings Lab (HLAB) at Vanderbilt University's College of Connected Computing. His research sits at the intersection of psychology and computational language analysis, with a focus on developing, validating, and applying language-based methods for psychological measurement and clinical decision support.

Oscar is the lead developer of the R Language Analysis Suite, including the text package (www.r-text.org), the topics package (www.r-topics.org), and the talk package (www.r-talk.org). He also leads the development of the Language-Based Assessment Model (L-BAM) Library, which provides a transparent, reproducible framework for sharing and applying pretrained language models in psychological research. The suite is developed in close collaboration with computer scientists and NLP researchers, ensuring the methods remain grounded in state-of-the-art advances in the field. He has published extensively on language-based assessment, model validation, and best practices for open science, including the LEADING reporting guideline (www.leading-guideline.org) and the Sequential Evaluation and Model Pre-registration (SEMP) approach.

Oscar's work has appeared in leading journals, including Advances in Methods and Practices in Psychological Science, Psychological Methods, npj Artificial Intelligence, and Clinical Psychological Science, as well as top computer science venues, including ACL and NAACL. He has extensive experience teaching R-based methods to researchers across psychology, medicine, and the social sciences, in both university courses and international workshops.

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.

Leonard J. Simms studies psychiatric classification, personality disorders, psychological assessment, and the translation of advanced psychometric models to clinical practice. Dr. Simms serves as Professor of Psychology and Psychiatry at the University at Buffalo. He holds a BS degree in Psychology from California Polytechnic State University and MA and PhD degrees in Clinical Psychology from the University of Iowa. He has over 100 professional publications and a strong record of extramural funding for his research, serves as Editor-in-Chief of Assessment, serves on the Boards of a number of professional societies, including the Society for Personality Assessment (SPA) and the Hierarchical Taxonomy of Psychopathology Society (HiTOP). Dr. Simms has received multiple awards for his scholarship, including the Samuel J. and Anne G. Beck Award and the Mid-Career Scholar Award, both from SPA.

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.