I build and validate digital health systems for clinical monitoring and prediction. My work covers device validation, signal processing, ML modeling, and end-to-end clinical study design.
I’m a PhD Candidate at Duke University’s BIG IDEAs Lab, where I’m an NSF Fellow in the Traineeship for the Advancement of Surgical Technologies and a Duke Rhodes Information Initiative Fellow for Interdisciplinary Research. See Work →
I’m also a Senior Associate at Duke Capital Partners, where I source startups in health tech and AI/ML. See Venture →
News
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Attending an invited short course on circadian rhythm monitoring at the Max Planck Institute for Biological Cybernetics in Tübingen, Germany!
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Gave the Your Heart in Motion workshop at the Peace Ambassador Leadership Summit.
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New preprint: Wearables Anticipate Postoperative Complications, a prospective cohort study with Duke Health cancer surgery patients.
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Invited talk on the future of perioperative remote patient monitoring at the Duke Research and Innovation Summit.
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Featured in Duke Vertices on how the BIG IDEAs Lab is shaping medical wearable technology.
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Presented VitalWave, an open-source high-frequency wearable and data platform, at IEEE Body Sensor Networks in Los Angeles, CA.
Earlier
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Awarded an NSF Fellowship through the Traineeship for the Advancement of Surgical Technologies.
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Presented research on opioid use disorder relapse and digital health at the 2025 CERSI Innovations in Regulatory Science Summit in San Francisco, CA.
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Passed the Biomedical Engineering preliminary exam, advancing to PhD candidacy.
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Two long COVID prediction papers published in eBioMedicine and JAMIA Open.
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Published data quality guidance for Fitbit data in the All of Us Research Program in JMIR mHealth and uHealth.