This is a shortened version of my resume; a detailed version is available upon request.
PhD Data Science, Technion – Israel Institute of Technology
2024-present
Advised by Associate Prof. Yakov Babichenko and Prof. Moshe Tennenholtz.
Engaged in diverse projects at the intersection of algorithmic game theory and data science, combining theoretical research with empirical methodologies.
MSc Data Science, Technion – Israel Institute of Technology
2022-2024
Advised by Prof. Moshe Tennenholtz and Associate Prof. Itai Arieli.
Graduated Summa Cum Laude.
BSc Data Science and Engineering, Technion – Israel Institute of Technology
2018-2022
Experienced with hands-on projects in machine and deep learning, data collection and storage, distributed databases management, statistics and optimization, data analysis and visualization.
Machine Learning Research Intern, Booking.com
June 2025-September 2025
Designed and implemented LLM-based solutions for extracting fine-grained sentiment on multiple aspects from user reviews, enabling advanced topic modeling across Booking.com applications.
Developed evaluation methodologies and ran large-scale experimentation across multiple LLM architectures, including fine-tuning of open-source models for domain-specific performance.
Teaching Assistant, Technion - Israel Institute of Technology
March 2022-present
Led tutorials and supported students in various courses on probability, statistics, economics, game theory and data science (see the 'Teaching' section).
Co-developed and taught a new course on Learning Analytics (aka Data Science for Education and Learning), contributing to the creation of course materials for its Campus-IL MOOC.
Research Assistant, Technion - Israel Institute of Technology
December 2022-March 2023
Conducted research with the Learning Analytics and Learning Design Lab, exploring applications of data science and AI in education.
Applied machine learning techniques to analyze complex behavioral data, uncovering patterns and strategies in student learning.
Software Engineering Intern, Google
January 2021-January 2022
Designed and implemented a data collection and storage mechanism for a large-scale internal notification platform at Google.
Developed tools for aggregating and visualizing data, enabling collaborators to gain actionable insights on their email and mobile notification campaigns.
STEP Intern, Google
August 2020-January 2021
Designed and developed an open-source web application for simulating, visualizing, and analyzing a Bluetooth Low Energy (BLE) protocol, with a focus on privacy and security aspects.
Managed data storage for various components of the simulator, ensuring efficient organization and accessibility for analysis and visualization.
Game and Economic Behavior (2024), Journal of AI Research (2025), ICML (2025), COLM (2025), SEA Workshop @ NeurIPS (2025), ICLR (2026).