New Preprint!

In our most recent study, we demonstrate that three-dimensional electrical action potential waves can be computed from ventricular motion using deep learning. We published the results on arXiv.

Predicting Cardiac Dynamics using Machine Learning

Meet us at the SIAM Conference on Applications of Dynamical Systems from May 14-18th 2023 in Portland, USA. We will discuss the latest research on applying machine learning to cardiac dynamics and arrhythmia research.

New Paper

New paper 'Reconstruction of three-dimensional scroll waves in excitable media from two-dimensional observations using deep neural networks' published in Physical Review E.

Presented at UC Davis

I presented our work at the University of California Davis.

Presented at The George Washington University

I visited The George Washington University in Washington D.C. and gave a talk about our work.

Received 'New Innovator Award'

Our research will be supported by an NIH Director's 'New Innovator Award'.

Presented at ESC Congress 2022

I presented at the ESC Congress of the European Society of Cardiology in Barcelona.

Presented at Gordon Research Conference

I presented our work at the Gordon Research Conference on Cardiac Regulatory Mechanisms in New London, New Hampshire.

New Lab Members!

New Lab Members!

Presented at Heart Rhythm 2022

Jan Lebert presented results from our recent paper at HRS2022