Work with us
We bring together clinical electrophysiology, engineering, and machine learning. If you want to build tools and science that change how arrhythmias are understood and treated, we'd like to hear from you.
Students
We host undergraduate, master's, and rotating graduate students on projects in cardiac signal processing, machine learning, and digital health — scoped to a quarter, a thesis, or a summer. Bring curiosity and some coding; we'll help with the cardiology.
Postdocs & Fellows
Postdoctoral scholars and cardiology/EP fellows lead work at the intersection of arrhythmia mechanisms and AI — from intracardiac mapping to deep learning on the ECG. We support fellowship applications (e.g., AHA) and protected research time.
Collaborators
We partner with clinical, engineering, and industry groups on multimodal cardiac data, external model validation, and new rhythm technology. If you have a dataset, a model to test, or a device to evaluate, let's talk.
Get in touch
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