I am a graduate student in HDFS working with Dr. Zita Oravecz. Broadly, Iā€™m interested in quantitative methods for analyzing intensive longitudinal data and integrating the study of individual development over both short- and long-term data streams. I am especially interested in how social scientists can map theory to a differential equations framework ā€“ borrowing models from physics, economics, and other fields ā€“ to specify and test theories of intraindividual change, and interindividual differences in intraindividual change. My areas of research include continuous-time stochastic process modeling (Ornstein-Uhlenbeck process models, Poisson process models), Bayesian estimation of linear and nonlinear growth models and dynamical systems modeling.