I am an incoming Assistant Professor in the Department of Psychology at Yale University (starting July 2024). My research integrates methods from across the clinical & computational sciences to advance the understanding, prediction, and prevention of suicide, nonsuicidal self-injury, and eating disorders. A central focus of this work includes formalizing theories of psychopathology as mathematical models, and modeling the real-time dynamics of symptoms (and their contexts) as they unfold in people’s daily lives.
My research has been published in over 50 scientific papers and book chapters, and funded by the National Institutes of Health, the National Science Foundation, and several private foundations. This work has also been recognized by several awards, and I was recently listed as one of Forbes’ 30 Under 30 in Healthcare.
I will be considering graduate applications in Fall 2023 (for the Ph.D. program beginning in Fall 2024). Please click here for FAQs for prospective PhD students. I will also be hiring a full-time lab manager to begin in July 2024 - please stay tuned for more information to come!
I received my B.A. from The College of New Jersey (2017), my Ph.D. from Harvard University (2024), and am currently completing my predoctoral internship at Massachusetts General Hospital with the Center for Precision Psychiatry and the Center for Digital Mental Health.
I value diversity, inclusion, and belonging, and am committed to promoting these values in research, academia, clinical practice, and beyond. I believe that increasing representation of people from marginalized and historically disadvantaged backgrounds is critical for conducting ethical, comprehensive, and innovative clinical science research.
Ph.D. in Clinical Science, expected 2023
A.M. in Clinical Science, 2019
B.A. in Psychology (statistics minor), 2017
The College of New Jersey
The amazing people I’m lucky to work with!
If you are a student interested in getting involved with research, please get in touch.
Pittsburgh Summer Methodology Series | June 26 - 29, 2023
Through the Pittsburgh Summer Methodology Series, Jeffrey Girard and I teach a course that provides a hands-on introduction to machine learning methods for social and behavioral scientists. Opportunities for methodological consulting are also provided. For more information and to register, please visit the Pitt Summer Methods website.
Pittsburgh Summer Methodology Series | June 22 - 23, 2023
Through the Pittsburgh Summer Methodology Series, Kathryn Fox and I teach a foundational course providing for researchers interested in studying suicidal and nonsuicidal thoughts and behaviors in youth and adults. Opportunities for consulting are also provided. For more information and to register, please visit the Pitt Summer Methods website.
Harvard University | Fall 2022
I have previously served as a teaching fellow/project mentor for AC 297r with Weiwei Pan. I mentored teams of 4 - 5 Master’s students in data science or computational science applying machine learning, computational, and engineering methods to solve a complex real-world problem.
Massachusetts General Hospital | Spring 2021; Summer 2021
I have previously taught workshops providing an introduction to R for researchers with prior data analysis experience in other statistical software programs (e.g., SPSS), but no prior experience in R. All materials, including slides and R code, are available on my github.
Harvard University | Fall 2019
I have previously served as a teaching fellow for PSY 1900 with Patrick Mair. I taught two lab sections per week and covered the following topics in R: descriptive statistics, data visualization, correlation, regression, ANOVA, and effect sizes.