Bryn Loftness is a PhD candidate in the Complex Systems and Data Science program at University of Vermont and a National Science Foundation Graduate Research Fellow. She works in the Neurobotics Lab and M-Sense Research Group at the UVM Complex Systems Center developing machine learning and digital phenotyping algorithms. The data she works with are primarily biological and behavioral signals derived from on-body and off-body sensors, health, and/or contextual records. She also works remotely with the Sabeti Lab through the Broad Institute, specializing in behavioral phenotyping and digital epidemiology projects. In this role, she collaborates significantly with the MAPPS (Mobility Analysis for Pandemic Prediction Strategies) Center at Brown University.

Bryn engages in a wide variety of research across her collaborations, with an overall vision for developing novel computational methods supporting the betterment of community, physical, and mental health across populations. Bryn most prominently contributes to evolving cutting edge research broadening the availability, objectivity, and precision of early childhood mental health screening across pre-adolescent populations. She is passionate about addressing the gap in current pediatric and family-care by engineering toolkits for behavior and physiology-based disorder identification and envisions the application of these new technologies within this space to revolutionize the modern mental health systems— starting when children have the highest chance of long-term success following identification.