π¨βπ¬ About
I am an independent researcher focused on applied research at the intersection of artificial intelligence, quantitative analytics, financial risk, and data-driven policy analysis. My work emphasizes translating rigorous research into insights that support economic competitiveness, workforce development, technological leadership, and outcomes aligned with the national interest.
Through open scholarship, public engagement, and policy participation, my research contributes to domains that align with national and strategic priorities, including innovation ecosystems, labor markets, advanced manufacturing, and resilient financial and supply-chain systems. These efforts reflect the type of sustained, high-impact work often evaluated under national interest based research and contribution frameworks.
π Education & Academic Background
- International MBA, Bar-Ilan University (Israel)
- Graduate Studies, Touro College (New York City)
- Research & Professional Activity: United States (NY, NJ, Philadelphia region)
π¬ Research Focus Areas
- Quantitative Finance & Financial Risk Modeling
- Artificial Intelligence & Machine Learning Systems
- Data Science, Big Data & Statistical Analysis
- AI Applications in Workforce, Manufacturing & Policy
- Economic Analysis & Technology-Driven Decision Support
π Research Dissemination & Public Access
My work is intentionally distributed through open and public channels to maximize societal benefit, institutional reuse, and long-term national and government value, including:
- Academic and research platforms (Google Scholar, SSRN, ORCID, MPRA)
- Government and public science repositories
- Free educational resources (courses, ebooks, public lectures)
- Long-term preservation via open research archives
This approach ensures research outcomes extend beyond a single employer or commercial entity and remain accessible to institutions, policymakers, and the public, supporting objectives commonly associated with national interest waiverβstyle public benefit analysis.
ποΈ Government & Public-Sector Engagement
This portfolio documents research that has been:
- Cited, indexed, or archived by U.S. and international government institutions
- Referenced in economic, labor, and technology analysis
- Submitted as formal public commentary to federal agencies through established rulemaking processes
These engagements demonstrate a sustained pathway from independent research to public-sector relevance, policy consideration, and measurable national impactβcriteria frequently examined in national interest evaluations.
π Research & Public Resources
Main Sections
Direct Links to Key Pages
π Selected Research Publications (PDFs)
Agentic AI & Governance
AI Governance & Risk Management
Financial Services & Risk Modeling
Workforce Development & Education
Data Engineering & Technical Infrastructure
AI Agents & Multi-Agent Systems
Public Health & Food Safety
Cybersecurity
Leadership & Management
Miscellaneous Publications
π External Research Profiles & Libraries
Impactio Laboratory
ποΈ Government Usage & National Interest
Citations by Government Agencies
Researcher Profile Summary
Selected Government Recognition
- Federal Reserve System β Research cited in economic analysis (FEDS series)
- U.S. Bureau of Labor Statistics (BLS) β Referenced in labor market research
- Regulations.gov β Policy submissions to OSTP, ITA, FDA, CDC, and other agencies
- International Public Indexing β EU, France, Australia, Ukraine government portals
- U.S. Department of Commerce β Publications indexed in Commerce Research Library
- Index Copernicus International β Global scientific database indexing
- Zenodo (CERN) β Open access research archive
- SciProfiles & EuroPub β Academic platform and database indexing
- viXra.org β Open e-print archive
- Impactio Laboratory β GenAI and Agentic AI Research Laboratory
Public-Interest & National-Scale Contributions
The work presented on this site supports priorities directly connected to the national interest of the United States, including:
- Responsible deployment of Agentic and Generative AI
- Workforce upskilling and labor-market resilience
- Advanced manufacturing and supply-chain stability
- Data-driven economic and technology policy analysis
These contributions are sustained, independently produced, and oriented toward broad public benefit, aligning with evaluation standards often applied in national interest waiver and merit-based green card assessments. The materials presented here may therefore be informationally useful to individuals reviewing or studying national-interestβwaiver green card evaluation frameworks.
π± Connect & Explore
Disclaimer
All research is conducted in an independent capacity. The views expressed are solely those of the author and do not represent any employer or affiliated institution.