photo credit: Robert Florida
I use mHealth and machine learning-based approaches to investigate physical activity for self-management of chronic symptoms like pain and anxiety. I focus on women’s conditions (endometriosis) and populations that are at greater risk for inequities with respect to adequate healthcare access (e.g., LGBTQ, racial/ethnic minorities).
My training background spans both patient-oriented clinical research (in the lab) and data-oriented approaches to ambulatory (out of the lab) measurement, estimation and prediction of physical activity, sleep, physiological outcomes (e.g., heart rate, blood pressure), and psychological outcomes (e.g., stress, depressive symptoms). I evaluate these behavioral outcomes both from the perspective of the patient (e.g., intervention delivery), and from a data architecture perspective (e.g., use of appropriate trackers, extraction and summarization of mobile data).
In addition to my own research, I advise graduate students on wearable/mobile data-related research, and lead various STEM and data science-centered community outreach events. In 2020, I collaborated with Camille Hollet-French, a Vancouver-based filmmaker, to make a film about endometriosis. The end product is ENDOMIC (@abloodycrisis), which had its world premiere at the 2021 Slamdance Film Festival.