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PhD | Sr. Machine Learning Researcher
Ph.D. graduate and Sr. Machine Learning Researcher at PayPal, focused on developing and deploying production-grade machine learning models for risk assessment. Applied researcher with experience developing machine learning and causal inference methods for complex, real-world problems across healthcare and financial technology. Background includes working with diverse data modalities, including tabular, imaging, and longitudinal time-series data, as well as publications in top-tier journals and conferences. Experienced in translating research into scalable, reliable, and data-driven solutions in production environments. Collaborates cross-functionally with engineering, product, and risk teams to deliver impactful machine learning systems.
Technion - Israel Institute of Technology
Doctor of Philosophy - PhD, Machine Learning
January 1, 2022 – January 1, 2026
Technion - Israel Institute of Technology
Master’s Degree, Aerospace, Aeronautical and Astronautical Engineering
January 1, 2014 – January 1, 2019
Technion - Israel Institute of Technology
Bachelor’s Degree, Physics
January 1, 2010 – January 1, 2013
Technion - Israel Institute of Technology
Engineer’s Degree, Aerospace, Aeronautical and Astronautical Engineering
January 1, 2009 – January 1, 2013
PayPal
Sr. Machine Learning Researcher
December 1, 2025 – Present
Technion - Israel Institute of Technology
PhD Machine Learning and Causality in Healthcare
January 1, 2022 – January 1, 2026
Technion - Israel Institute of Technology
Machine Learning Researcher
August 1, 2021 – December 1, 2021
SpearHealth @ 8400
Member of SpearHealth 2nd Cohort
May 1, 2021 – July 1, 2021
Weizmann Institute of Science
Machine Learning Researcher
January 1, 2020 – March 1, 2021
Zebra Medical Vision Ltd
Deep Learning Researcher
March 1, 2018 – January 1, 2020
Israel
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Aerospace Engineer
October 1, 2011 – March 1, 2018
Israel
Israel Ministry of Defense
Communication Officer
April 1, 2005 – March 1, 2009
Cultural Fit Analysis
The candidate's diverse experience across academic research, health-tech innovation programs (SpearHealth), and industry roles (PayPal, Zebra Medical Vision) suggests adaptability and a proactive approach to learning and applying skills in different contexts. The long tenure at Technion for multiple degrees and a PhD indicates a commitment to deep learning and academic rigor. The transition from Aerospace Engineering to Machine Learning demonstrates a capacity for significant career shifts and continuous skill development. The target role of ML Engineer aligns well with the candidate's extensive ML research and application background.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, research, and collaboration skills through various roles. Experience as a head lecturer and communication officer suggests leadership and communication abilities. The focus on healthcare and risk assessment indicates an ability to work in critical, data-driven environments.