About Me
I am a Cognitive Science PhD student in Dr. Bradley Voytek’s lab at the University of California, San Diego (UCSD). My research focuses on interactions between the autonomic and central nervous systems — how do respiratory and cardiac rhythms influence the brain and cognition? Using electrophysiological neural data, I develop methods to carefully quantify neural, respiratory, and cardiac rhythms to better understand brain-body relationships.
During my PhD I have had the privilege of interning across many industry domains working with multi-modal bio-signal data at Apple, clinical trial wearable data at Takeda, and large-scale, qualitative survey data at Fidelity.
Before graduate school, I worked at UCSF’s Memory and Aging Center with Dr. Virginia Sturm, studying emotion dysfunction in neurodegenerative disease via autonomic signals, MRI, and facial expression coding. I received my B.A. from UC Berkeley, where I completed an honors thesis in Dr. Robert Knight’s lab on event-related potential responses in scalp and intracranial EEG.
Recent News
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Jun 2026Began internship on the Algorithms team at Oura!
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Apr 2026Preprint posted to bioRxiv: "Cycle-by-cycle respiration waveforms are coupled with the shape of neural oscillations".
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Mar 2026First-author manuscript from my internship with Takeda published in Digital Biomarkers: "Methods for Wearable-Derived Pulse Rate Measures and Their Application to Modeling the Relationship Between Pulse Rate and Motor Activity in Narcolepsy Type 1".
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Mar 2025Received the Rita L. Atkinson Graduate Fellowship.
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Jan 2025Began internship on the Neuro team at Apple!