I’m a PhD student in the VISTA Lab at the Technion Computer Science Faculty, advised by Prof. Alex Bronstein. I am also a machine learning engineer and data scientist at Sibylla, where I lead the design and implementation of our ML platform.
My research interests include deep learning, differentiable optimization, physiological signal processing (e.g. ECG), and recently computational structural biology. I hold an MSc in Biomedical Engineering and a BSc in Electrical Engineering, both from the Technion. Currently head TA of the CS faculty’s Deep Learning course.
In addition to a my research pursuits, I have a strong technical background in software engineering. Before starting my PhD I worked in multiple technical roles. I have extensive experience writing robust, testable, well-designed code, leading software teams and architecting large-scale systems.
|Dec 8, 2021||Gutwirth Excellence Scholarship for PhD research awarded.|
|Jul 23, 2021||Our Deep Learning in Cardiology paper featured by Technion.|
|Jun 14, 2021||New paper in PNAS about deep learning in cardiology.|
|Aug 24, 2020||MLIS Data Science Scholarship awarded.|
|Jul 19, 2020||Our new paper was published in Nature Scientific Reports.|
FrontiersPhysioZoo: a novel open access platform for heart rate variability analysis of mammalian electrocardiographic dataFrontiers in Physiology 2018
Nat. Sci. Rep.Signatures of the autonomic nervous system and the heart’s pacemaker cells in canine electrocardiograms and their applications to humansNature Scientific Reports 2020
PNASMeeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning–based ECG analysisProceedings of the National Academy of Sciences 2021