Aviv A. Rosenberg

PhD Student @ CS, Technion • MLE & Data Scientist @ Sibylla


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.

selected publications

  1. Frontiers
    PhysioZoo: a novel open access platform for heart rate variability analysis of mammalian electrocardiographic data
    Behar, Joachim A, Rosenberg, Aviv A, Weiser-Bitoun, Ido, Shemla, Ori, Alexandrovich, Alexandra, Konyukhov, Eugene, and Yaniv, Yael
    Frontiers in Physiology 2018
  2. Nat. Sci. Rep.
    Signatures of the autonomic nervous system and the heart’s pacemaker cells in canine electrocardiograms and their applications to humans
    Rosenberg, Aviv A, Weiser-Bitoun, Ido, Billman, George E, and Yaniv, Yael
    Nature Scientific Reports 2020
  3. PNAS
    Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning–based ECG analysis
    Elul, Yonatan, Rosenberg, Aviv A., Schuster, Assaf, Bronstein, Alex M., and Yaniv, Yael
    Proceedings of the National Academy of Sciences 2021