I’m a PhD student in the VISTA Lab at the Technion Computer Science Faculty, advised by Prof. Alex Bronstein. In addition, I’m currently working as a machine learning engineer and data scientist at Sibylla.
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 development. 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.
|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||CHE 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