Computer Science PhD · Syracuse University
Models that learn & logic that verifies.
I’m a NeuroSymbolic AI researcher at the Leibniz Lab, working on systems that combine statistical learning with rigorous logic — and that can detect, explain, and recover from their own errors. Advised by Prof. Paulo Shakarian.
00 — About
Engineer, computer scientist, working at the intersection of logic and learning.
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I work on NeuroSymbolic AI — systems that fuse statistical learning with rigorous logic so they can detect, explain, and recover from their own errors, without leaning on ground-truth labels. That thread runs from large-scale LLM pretraining and scaling laws to robotics and modern control, and it grew out of shipping real systems in industry before I returned to research.
I’m a 3rd-year Computer Science Ph.D. student and a Research Associate at the Leibniz NeuroSymbolic Lab at Syracuse University (SU), New York, USA, under Prof. Paulo Shakarian. I recently served as a Visiting Researcher with the Learning Sciences group at the Institute for Creative Technologies (ICT), University of Southern California (USC).
Until 2023 I was an AI/ML Researcher at Ben-Gurion University of the Negev (BGU), Israel, where I co-founded Prof. Gera Weiss and Prof. Shai Arogeti’s Intelligent Robotics Lab (IRL). I hold an M.Sc. in Computer Science and a B.Sc. in Mechanical Engineering, both from BGU — the mechanical-engineering start is where my interest in control and autonomous systems began.
News
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Research focus
Where my work lives.
Three threads run through everything I build — together they shape the questions I ask and the systems I help bring into the world.
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01
NeuroSymbolic AI
Infusing statistical neural models with rigorous logic so that learned systems can reason, justify, and recover from their own errors — the core of my PhD work.
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02
Machine Learning
From hierarchical multi-label classification to LLM scaling laws and agentic frameworks for education — applied ML on real problems with real constraints.
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03
Robotics & Control
Differential games and modern control theory for autonomous systems handling competing objectives — bridging the mechanical engineering that started my path with the AI that continues it.
01 — Education
Three degrees, one trajectory.
From mechanical engineering to computer science to a PhD in NeuroSymbolic AI — each step a deliberate move toward the questions I find most worth answering.
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02 — Experience
A research-and-engineering path across labs and continents.
Roles at Syracuse, ICT@USC, ASU, BGU, Dell, and Intel — always at the boundary of research and shipped systems.
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03 — Publications
Peer-reviewed work.
Papers across NeuroSymbolic AI, hierarchical multi-label classification, vision-language sensor fusion, and differential games for control.
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04 — Teaching & Talks
Sharing the work.
Courses I’ve taught, talks I’ve given, and essays I’ve written — the public-facing side of the research.
Teaching
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Talks & Essays
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05 — Recognition
Selected fellowships, scholarships, and awards.
Funding and recognition that has supported my path from Israel to the United States, across mechanical engineering, AI, and security-focused research.
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06 — News
What’s happening lately.
A live feed from my research life — new papers, talks, affiliations, and milestones.
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