I am an Engineering PhD candidate at Dartmouth College, advised by
Prof. Liz Murnane.
Prior to that, I earned my Master's in Engineering in Medical Device Design at Duke University, my Bachelor of Science in Engineering and Bachelor of Arts in French & Francophone studies at Swarthmore College.
My research focuses on understanding how predictions from wearable-based AI systems can be translated into clinical action,
and how to use those insights to design human–AI collaborations that better support providers and patients.
In my dissertation, I study AI-assisted sensemaking of multimodal wearable data, spanning personal mental health tracking, ML-based depression prediction in postpartum populations, and dashboard design for care providers.
I apply mixed-methods research grounded in scientific and epistemological rigor, together with design synthesis, to build systems that stakeholders and researchers can understand, critically examine, and use to make informed decisions.
Experience
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2022–now
Dartmouth College, HCI PhD candidate Elizabeth Murnane
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2022–2023
FemTechnology Summit, Intern Oriana Kraft
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2021–2022
Duke University, MEng in Biomedical Engineering Paul Fearis, Eric Richardson
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2022
Siemens Healthineers, Global Business Development Intern Cam Atkins, Kelly Berchuck
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Summer 2019
University of Pennsylvania, Undergraduate Student Researcher Charlotte Pfeifer, Michael Tobin, Dennis Discher
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2017–2021
Swarthmore College, BS Engineering & BA French and Francophone Studies Vidya Ganapati, Matt Zucker, Carina Yervasi
Research
Projects