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.
Last updated: Loading…
Hi there!
I am a 3rd-year Computer Science Ph.D. student and a Research Associate at the Leibniz NeuroSymbolic Lab @ Syracuse University (SU), New York, USA under the direction of Prof. Paulo Shakarian.
Until recently, I served as a Visiting Researcher at the Learning Sciences group at the Institute for Creative Technologies (ICT) under the University of Southern California (USC).
Until 2023, I served as an AI/ML Researcher at Ben Gurion University of the Negev (BGU), Israel. I was a part of Prof. Gera Weiss and Prof. Shai Arogeti’s Intelligent Robotics Lab (IRL) at BGU, which I co-founded.
I hold a Master of Science (M.Sc.) in Computer Science and a Bachelor of Science (B.Sc.) in Mechanical Engineering, both from BGU.
My research interests are in the fields of Artificial Intelligence (AI), Robotics, Machine Learning (ML), and Modern Control Theory.
Feel free to take a look around to learn more about my work.
News
- Loading news...
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.
-
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.
-
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.
-
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.
Loading education…
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.
Loading experience…
03 — Publications
Peer-reviewed work.
Papers across NeuroSymbolic AI, hierarchical multi-label classification, vision-language sensor fusion, and differential games for control.
Loading publications…
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
Loading teaching…
Talks & Essays
Loading talks…
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.
Loading awards…
06 — News
What’s happening lately.
A live feed from my research life — new papers, talks, affiliations, and milestones.
- Loading news…