PhD Dissertation Defense June 17, 2026
Open defense 11 AM to 12 PMClosed defense 12 to 2 PM
Open portion is welcome to the public In person or Zoom

Advancing pediatric mental health
intervention through multimodal
digital phenotyping

From behavioral insights to family-facing tools.

When
June 17, 2026
Open defense 11 AM to 12 PM. Closed defense 12 to 2 PM. Conferral August 2026.
Where
Innovation Hall, E210
UVM main campus, Burlington, Vermont. Or join via Zoom.
How to attend
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Bryn as a young child sitting at a 90s desktop computer. Bryn at her PhD workstation with code, figures, and a research poster on the wall.
Then Now

A translational pathway, from measurement to family action.

Roughly one in five children in the United States meets criteria for a mental health disorder, yet fewer than half receive treatment. Delays between first onset and initial treatment contact extend from one to thirty years depending on condition and country, with anxiety disorders showing the longest delays. Fewer than forty percent of young children meeting diagnostic criteria are perceived by their parents as having a mental health need. Scalable, objective screening and personalized intervention approaches are needed. Technical feasibility alone, however, does not ensure clinical adoption or family engagement.

This dissertation presents a translational pathway for digital phenotyping of pediatric mental health, spanning platform development, measurement optimization, and family-facing translation. It develops complementary frameworks for responsible real-world deployment: a practicality-weighted approach to sensor selection, an ethical framework for digital phenotype screening tools, and customer-discovery-driven translational case studies that connect measurement to family-facing intervention.

Research funding. NSF Graduate Research Fellowship Program (GRFP, 2023 to 2026): "Discovering Digital Phenotypes of Childhood Internalizing Disorders for Point-of-Care Diagnostics." Foundational platform and study work supported through Ryan McGinnis's NSF CAREER Award #2046440 ("Platform for Characterizing Transdiagnostic Markers of Disease from Wearable and Mobile Technologies") and Ellen McGinnis's NIH K23 Award (K23MH123031).

Translational funding. Gotham Regional Innovation Gambit I-Corps Program (NSF I-Corps NY Hub, Fall 2022), NSF I-Corps Regional (2022) and National (2023) Programs (Loftness & E. McGinnis), the IDeA Entrepreneurship Fellow Award (UVM Innovations iTREP Program, 2025), the UVM ARC Program (2025 to 2026), the Equalize 2024 Digital Health Cohort, UVM Ventures 2025 ($30K), Launch-VT 2024 Grand Prize ($15K), Spark-VT 2023 ($45K), and the Vermont EPSCoR SBIR Phase 0 Award (Biobe, $15K, 2026).

01

Building the platform

Can we measure childhood mental health with wearables, and should we?

Anchor papers
Loftness BC, Halvorson-Phelan J, O'Leary A, Bradshaw C, Lunna S, Berman I, Torous J, Copeland WL, Cheney N, McGinnis EW, McGinnis RS. The ChAMP App: A Scalable mHealth Technology for Detecting Digital Phenotypes of Early Childhood Mental Health. IEEE Journal of Biomedical and Health Informatics, 2023. doi: 10.1109/JBHI.2023.3337649
O'Leary A, Lahey T, Lovato J, Loftness BC, Douglas A, Skelton J, Cohen JG, Copeland WE, McGinnis RS, McGinnis EW. Using Wearable Digital Devices to Screen Children for Mental Health Conditions: Ethical Promises and Challenges. Sensors, 2024. doi: 10.3390/s24103214
A note on the dataset. The behavioral tasks themselves come from clinical research going back decades. Ellen McGinnis assembled this specific battery (Approach, Speech, Bubbles) during her PhD to study childhood internalizing disorders, and together with Ryan McGinnis they added wearable sensing for more objective measures. Their prior work tested individual tasks paired with one or two sensors at a time across earlier pediatric samples (see biobe.org/publications). I joined the lab in 2021 to help collect the next dataset, which anchors Chapters 1 and 2. Chapter 2 is the first time the full multi-task, multi-sensor array has been tested as an integrated whole on a single shared cohort.
02

Optimizing the signal

Which sensors matter, and where on the body can we actually place them?

Anchor papers, in preparation
Loftness BC, Cohen JG, Kairamkonda D, Cherian J, Mascia G, Halvorson-Phelan J, Bradshaw C, Hidalgo J, Berman I, Brown AJ, Rees A, Copeland WL, Torous J, Cheney N, McGinnis EW, McGinnis RS. Multimodal, Multi-Device Digital Phenotyping for Early Detection of Child Mental Health During a Brief, Scalable Assessment. In preparation.
Loftness BC, Kairamkonda D, Cherian J, Mascia G, Cheney N, McGinnis EW, McGinnis RS. Feasibility of Trapezius-Derived ECG for Heart Rate Monitoring in Young Children: Validation Against Chest ECG Across Behavioral Tasks. In preparation.
Behind the data

I added trapezius EMG sensors to the protocol in 2022, curious whether kids' shoulders would tense up under stress the way adults do. Turns out the signal showed us more about another muscle in the region: the heart. That's what Chapter 2's trapezius work tests.

03

Translation & deployment readiness

What sits between detection and family action, and can we close that gap at scale?

Anchor work
Loftness BC (co-first), Halvorson-Phelan J (co-first), O'Connor J, Cherian J, Bradshaw MC, Berman I, Potts E, Hidalgo JE, Burr M, McGinnis RS, McGinnis EW. From Concern to Care: How Caregiver Mental Health Literacy Shapes Information-Seeking for Child Mental Health. In preparation.
McGinnis EW (PI), Loftness BC (Co-PI / Entrepreneurial Lead). NSF I-Corps Regional Program (2022) & National Program (2023). Customer and stakeholder discovery foundation
Nick CheneyCo-advisor · UVM
Ryan McGinnisCo-advisor · Wake Forest / UVM
Ellen McGinnisCo-advisor · Wake Forest / UVM
Donna RizzoCommittee chair
Matt PriceCommittee
Chris DanforthCommittee
William CopelandCommittee
In sum

Together, this work demonstrates that digital phenotyping for pediatric mental health is technically feasible, practically deployable, and acceptable to families when every stage prioritizes real-world practicality, ethical constraints, resource barriers, and community voices alongside scientific rigor.

Bryn C. Loftness · June 17, 2026 · UVM
After the defense
Fall 2026 · Burlington, VT, USA
Translational Fellow, Vermont Complex Systems Institute
Supporting the Vermont AI Literacy Project (K to 12 critical engagement curriculum) and continuing to build Biobe.
January 2027 · Vancouver, BC, Canada
Impact+ Postdoctoral Fellow, WearTech Labs, Simon Fraser University
Advised by Max Donelan (wearable biomechanics expert and entrepreneur). Continuing the pediatric screening and intervention work at scale.