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 focuses on implementing machine learning tools for practical use in medicine and biology, including modeling and analysis of heart rate variability, detection of abnormalities in ECG signals, statistical methods such as conformalization and quantile regression, quantification of uncertainty, and reliability in deep learning systems in medical applications.
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.
|May 20, 2022||New paper in Nature Communications.|
|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.|
PreprintFast Nonlinear Vector Quantile RegressionMay 2022
NatCommCodon-specific Ramachandran plots show amino acid backbone conformation depends on identity of the translated codonNature Communications May 2022
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
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
FrontiersPhysioZoo: a novel open access platform for heart rate variability analysis of mammalian electrocardiographic dataFrontiers in Physiology 2018