For my theoretical work, I develop and evaluate statistical methods for public health research. My work focuses on nested study designs, where research participants are either members of intact groups (e.g., communities, workplaces, schools), followed longitudinally, or placed into groups for the purpose of the study (e.g., therapy groups, training sessions, yoga classes). Traditional statistical methods break down in these settings, so we have to modify our approach to account for the relationships between measurements within each group. I consider methods for handling missing data as well as modeling approaches for binary outcomes from these nested designs.
In practice, I am interested in understanding the effects of stress on health and psychological well-being, and working with experts to develop broadly accessible interventions to mitigate the effect of stress on health. To this end, I spent several years as a collaborating biostatistician in the Stress and Health Lab of the Institute for Behavioral Medicine Research, training directly with Dr. Janice Kiecolt-Glaser, a leader in the field of psychoneuroimmunology. In the realm of cognitive psychology, I am currently working with Dr. Sarah Bunnell and two Amherst College students to investigate meaning-making in the public narrative of childhood sexual abuse.