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. My Ph.D. training is Quantitative Methods from the Human Development and Family Studies Department at Penn State. After graduation, I continued my research as a postdoctoral researcher at Stanford University (Psychology Department) for a year.
Currently, I am a Senior Data Scientist (Research Lead) at Mindstrong Health, focusing developing digital biomarkers and behavioral measures to passively monitor mental health. Digital devices also allow for passive data collection with much denser measurement and higher precision. Artificial intelligence (AI), in conjunction with these data, enables modeling of psychological processes, including emotional states, cognitive load, physical activity, and social behaviors. 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.