I am a quantitative psychologist focusing on developing novel methods to study complex psychological processes and how these psychological processes impact important outcomes, such as mental health. The methods I have been developing focus on dynamical system methods, control theory, network analysis, and machine learning, which rely heavily on intensive longitudinal data (e.g., experience sampling). In recent years, my research started integrating more passive sensing data via smartphones and wearables, and finding new ways to push our understanding of psychology. I am excited to explore the possibilities of applying AI methods, such as reinforcement learning, to research how people adapt to their environment and balance their inner world.  

Starting Fall 2023, I will join Northeastern University as a tenure-track Assistant Professor (joint appointment of Bouve College of Health Science and Khoury College of Computer Science). Before Northeastern, I worked as a Senior Data Scientist (Research Lead) at Mindstrong Health, focusing developing digital biomarkers and behavioral measures to passively monitor mental health. My Ph.D. training is Quantitative Methods from the Human Development and Family Studies Department at Penn State, and I continued my research on Screenomics as a postdoctoral researcher at Stanford University (Psychology Department) for a year.