Exciting to see my first, first author article accepted this week! Grateful for the support of many mentors and peers, especially JordanYorgason who actively invested in my development and project ideas. More to come when publication is finalized!

Excited this is out! Give it a read to learn more about interesting analytical tools for BSPMs including ECGI and ML!

Proud to have participated in this collaborative effort! Teamwork makes it happen, and cultivating collaboration leads to the most interesting approaches.

(Shameless self-plug) Getting ready for a committe meeting, reviewing our lab's 2021 papers. This is probably one of my favorite figures from them, looking at applications of #BSPM, and in this case #MachineLearning.Anyone else have a favorite figure they made last year?#EPeeps

I have loved collaborating with this team! Congrats to Jake Bergquist, PhD on a great project and presentation!

I was honored to receive a Kenneth M. Rosen fellowship award from Heart Rhythm Society at #HRS2023 supporting my research at University of Utah UofU Nora Eccles Harrison CVRTI Scientific Computing and Imaging Institute UtahBME . I look forward to #HRS2024 where I will present the results of the research this fellowship will support. #CardioTwitter #EPeeps

Excited to announce EchoNet-MR, our #AI model for high throughput #echofirst MR screening.

Great weekend at ACC 2024, presenting work on deep learning derived cardiac specific age acceleration! I’m super proud of and excited by this work and am fortunate to have had the support of many excellent mentors and peers preparing it Sarnoff Foundation James Pirruccello Geoff Tison

Such a fun week at Sarnoff Foundation presenting my work on deep learning based models of cardiac aging! I have had an amazing year. So much fun to see my co-fellows present their incredible work as well!

So grateful for this awesome collaboration with Scientific Computing and Imaging Institute Jake Bergquist, PhD James Brundage Brian Zenger Rashmee Shah, MD Thomas Jared Bunch Ravi Ranjan @RobSCI1 Heart Rhythm O2 Performance of off-the-shelf machine learning architectures and biases in low LVEF detection doi.org/10.1016/j.hroo…

Sarnoff at AHA❤️