Resume
Academic Achievements
- 1. Co-authored paper with T. Biron et al., 'Disentanglement of prosodic meaning: Toward a framework for the analysis of nonverbal information in speech' (2025)
- 2. Co-authored paper with S. Szekely et al., 'Meta-autoencoders: An approach to discovery and representation of relationships between dynamically evolving classes' (2025)
- 3. Co-authored paper with S. Szekely et al., 'Natural averaging may complement known biological constraints in sexual reproduction’s advantages over asexual in conserving species quantitative traits' (2025)
- 4. Co-authored paper with D. Ran et al., 'An Infrastructure Software Perspective Toward Computation Offloading between Executable Specifications and Foundation Models' (2025)
- 5. Co-authored paper with D. Harel, 'Early Fault-Detection in the Development of Exceedingly Complex Reactive Systems' (2025)
- 6. Co-authored paper with D. Harel, 'From Executable Specifications to Hard-to-Specify Requirements: Challenges in Describing Reactive System Behavior' (2025)
- 7. Co-authored paper with D. Harel et al., 'Toward Methodical Discovery and Handling of Hidden Assumptions in Complex Systems and Models' (2023)
- 8. Co-authored paper with D. Harel et al., 'Enhancing Scenario-Based Modeling using Large Language Models' (2024)
- 9. Co-authored paper with D. Harel et al., 'On Augmenting Scenario-Based Modeling with Generative AI' (2024)
- 10. Co-authored paper with D. Harel, 'The Human-or-Machine Issue: Turing-Inspired Reflections on an Everyday Matter' (2024)
- 11. Co-authored paper with I. Cohen et al., 'Challenges in Modeling and Unmodeling Complex Reactive Systems: Interaction Networks, Reaction to Emergent Effects, Reactive Rule Composition, and Multiple Time Scales' (2023)
- 12. Co-authored paper with D. Harel et al., 'Categorizing methods for integrating machine learning with executable specifications' (2024)
- 13. Co-authored paper with R. Yerushalmi et al., 'Enhancing Deep Reinforcement Learning with Scenario-Based Modeling' (2023)
- 14. Co-authored paper with I. R. Cohen, 'Evolu' (incomplete)
Research Experience
- Prior to joining the Weizmann Institute, he was a corporate architect at BMC software and worked in advanced system design at IBM laboratories in Poughkeepsie, NY.
Background
- Research interests include biological evolution theory and its modeling, software engineering, machine learning, scenario-based/behavioral programming, and software verification.
Miscellany
- Personal interests and other information not provided