Murad Meshanni, PhD

Enhanced Due Diligence @Gusto | Cyber Policy Analyst | AI Governance Strategist

New York City Metropolitan Area

About

Data-driven policy analyst with a Ph.D. in Global Affairs and 7+ years of experience leveraging advanced analytics and statistical modeling to strengthen cybersecurity and AI governance frameworks. Skilled in Python, R, SAS, Stata, and SPSS, with a track record of translating complex data into actionable policy insights and stakeholder strategies.

Experience

  • Enhanced Due Diligence Investigator at Gusto
    Apr 2026 - Present · 4 mos

  • Independent AI & Cyber Policy Researcher at Self-employed
    Jun 2025 - Apr 2026 · 11 mos

    • Authoring a forthcoming book, “Power by Proxy: Corporate Influence in the Transatlantic Cyber Domain,” (manuscript completion Spring 2027) examining how private sector actors shape U.S.-European cyber relationships through public-private partnerships, regulatory influence, and concentrated technical expertise. • Conducting comparative case studies and national security policy analysis across six strategic allies to the U.S., identifying critical gaps in policy frameworks and revealing how private actors exploit these gaps to control cyber and AI regulatory agenda setting.

  • Cyber Policy Analyst (Doctoral Research Focus) at Rutgers Graduate School - Newark
    Aug 2019 - Jun 2025 · 5 yrs 11 mos

    • Designed, led, and completed Institutional Review Board (IRB)-approved mixed-methods studies that assessed governance gaps, national security concerns, and strategic limitations in international cyber and emerging technology policies. • Published doctoral research on how government, military, and technology special interest groups influence cyber policymaking, revealing asymmetric power dynamics between public and private actors in NATO countries. • Identified, networked, and conducted interviews with 35+ stakeholders across government, industry, and military institutions, revealing competing priorities in U.S.-European cyber alliance cooperation and policy harmonization efforts. • Developed a structured coding methodology to analyze responses and built research frameworks which identified that private actors hold disproportionate influence over cyber policy outcomes in 3/3 NATO countries studied. • Conducted data analysis on 800+ policy and platform governance documents using Python (pandas, NumPy, sklearn) for theme classification and narrative detection, R for large data analysis, and NVivo for coding text, discourse analysis, policy analysis, and trend analysis.

  • Lecturer at Department of Political Science Rutgers University
    Aug 2019 - May 2025 · 5 yrs 10 mos

    • Designed curriculum for, and taught, ten courses across five semesters on topics surrounding comparative politics and global governance. • Achieved 97% student rating across 247 students. • Directly mentored over 30 students resulting in external op-ed publications in local and state papers. • Built LMS dashboards to track student participation and identify at-risk or struggling students.

  • Assistant Digital Marketing Analyst at Rutgers University – Marketing & Alumni Relations
    Aug 2018 - Aug 2019 · 1 yr 1 mo

    • Created digital and print marketing collateral for multi-channel social media and outreach campaigns. • Increased user engagement across Twitter, Facebook, and Instagram by 30% over a six-month period. • Revamped alumni initiatives by developing the Alumni Relations Board and alumni CRM databases to ensure data accuracy to support targeted outreach and messaging strategies to 500+ active members.