Occupational Experience

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Research Associate

Leibnitz Lab, Syracuse University
Syracuse, New York, USA
2025-Present

• Conducting NeuroSymbolic research at the Leibnitz Lab under the College of Engineering and Computer Science at SU
• Supervised by Prof. Paulo Shakarian (Wikipedia, Google Scholar, IEEE, dblp)
• Authored a paper accepted to AAAI 2026, Singapore
• Reviewed papers for AAAI 2026
• Currently working on scaling laws in LLMs

Visiting AI Researcher

Institute for Creative Technologies (ICT), Viterbi School of Engineering, University of Southern California (USC)
Los Angeles, California, USA
2025

• Full-time summer internship at the Learning Sciences research group under Professor Ben Nye
• Conducting research in employing LLM-inspired methods in the field of education
• Employing Microsoft’s AutoGen framework for implementing agentic AI for learning materials

USC Website | USC ICT Website | Summer Internship Post | Group GitHub

Research Associate

Lab-V2, Arizona State University
Tempe, Arizona, USA
2023-2025

• Research Associate at the V2 Neuro-Symbolic AI lab under the Ira A. Fulton School of Engineering at ASU, supervised by Prof. Paulo Shakarian
• Managed a team of four researchers in conducting research in NeuroSymbolic AI
• Authored (first author) and presented a peer-reviewed paper at CIKM 2024, Boise, Idaho, USA
• Developed an open-source Python package called PyEDCR, implementing the method suggested at the CIKM article
• Reviewed papers for the 2nd Workshop on Metacognitive Prediction of AI Behavior at SDM2025, Alexandria, VA, USA

Lab YouTube | Lab GitHub

Vice President Data Science

Frenn Analytics
Tel Aviv, Israel
2022

• Founding the Data Science department at the HR-Tech focused start-up company in its early stages using various AI methods
• Hiring and managing a team of entry-level data scientists for data analysis and designated inference research
• Set the foundations for implementing predictive ML pipelines to use in-house company data to provide desired actionable insights for improving employee compensation models

Company LinkedIn | Company Facebook

AI/ML Research Associate and Teaching Assistant

Ben Gurion University of the Negev
Beer Sheva, Israel
2020-2023

• Authored and presented a peer-reviewed paper at MED 2021
• Developed an open-source Python package called PyDiffGame, implementing the method suggested at the article
• Acting Teaching Assistant at two CS undergraduate courses - once at Intro to CS and two times at PPL, both at BGU

BGU Website | BGU CS Profile

Data Scientist

Dell Technologies
Beer Sheva, Israel
2019-2022

• Working with a diverse team of data scientists, consultants and engineers from various locations; Israel, USA India and Slovakia
• Worked 6 months on a Jira tickets duplication use case implemented by evaluating similarities between possible candidates
• Developing more than 20 web-based data science pipelines used to implement, manage and display results of data science projects
• Implemented pipelines for: Time Series analysis, EDA, Wordcloud, Topic Modeling, Chat Bot, Video transcript generation for seeking and questions answering, Project Management, Human Resources Allocation, Organization Exploration and a web-based portal that showcases these
• Using mostly Python, utilizing the packages Numpy, Pandas, Scipy, Plotly, Dash, Scikit-Learn, TensorFlow and PyTorch
• Taking action; presenting various demonstrations of the designed tools, running workshops, presenting at seminars

Dell Technologies Website

Computer Chips Manufacturing Process Engineer

Intel Corporation
Kiryat Gat, Israel
2018-2019

• Monitoring Intel’s various computer chips manufacturing processes
• Identifying design and process malfunctions, analyzing performance statistics, issuing and verifying problems

Intel Website