Research & Publications
Dr. Abhay Gupta is a leading economist, AI researcher, and policy strategist with a 20+ year career spanning development finance, empirical research, AI-driven decision systems, and sustainability. His work integrates quantitative modeling, impact evaluation, and machine learning to drive evidence-based economic policy, strategic decision-making, and corporate innovation.
Over the years, he has led high-impact research projects, published over 250 reports and policy papers, and developed AI-driven economic intelligence platforms, influencing global economic strategies, multilateral finance, ESG frameworks, and digital governance.
Development Impact & Impact Evaluation Research
European Investment Bank (EIB) (2017 – 2021)
Dr. Gupta was a Lead Consultant at the European Investment Bank (EIB), where he:
- Led the evaluation of 20+ large-scale development projects across infrastructure, energy, education, and healthcare.
- Designed cost-benefit analysis frameworks to measure development impact and policy effectiveness.
- Applied causal inference techniques (RCTs, difference-in-differences, quasi-experimental designs) to ensure financial and social accountability.
- Developed Monitoring & Evaluation (M&E) frameworks, ensuring that investments aligned with SDG targets and sustainability goals.
- Published reports that shaped development finance strategies at EIB and other multilateral banks.
Collaboration with Global Development Experts
At EIB, Dr. Gupta worked with:
- Arianna Legovini (Head, World Bank DIME Program) – Designing rigorous impact evaluation methodologies.
- Emmanuel Y. Jimenez (Asian Development Bank) – Assessing development finance policies and project evaluations.
- François Bourguignon (Former World Bank Chief Economist) – Leading policy impact assessment models.
These collaborations enhanced transparency and accountability in development finance, ensuring greater efficiency in multilateral lending.
Macroeconomic Research & Policy-Focused Analysis
House of Commons, Canadian Parliament (2016 – 2017)
Dr. Gupta played a crucial role in fiscal policy research and economic modeling, working on:
- Long-term scenario planning for Canada Pension Plan sustainability.
- Healthcare and defense procurement policy analysis, guiding fiscal decisions.
- Legislative briefings and policy reports, shaping parliamentary economic strategies.
OECD (2011 – 2013)
As a Senior Economist at OECD, he contributed to:
- Productivity and competitiveness research, developing frameworks for economic development.
- Innovation and intangible assets research, shaping knowledge economy policies.
- Trade and industrial policy analysis, examining global supply chains and trade flows.
The Conference Board (2009 – 2011)
At The Conference Board, New York, Dr. Gupta:
- Led macroeconomic forecasting and labor market research.
- Managed World KLEMS, collaborating with Harvard, RBI, Federal Reserve, Statistics Canada, and European Commission.
- Advised Fortune 500 firms on investment and risk strategies.
AI, Data Science & Economic Modeling
Empirical Foresights (2014 – 2016)
As Chief Economist and Founder of Empirical Foresights, Dr. Gupta:
- Developed Inference Maven, an AI-powered economic analysis software that integrates machine learning into economic forecasting and policy modeling.
- Created the Objective Outlook reports, a data-driven publication series that provided real-time, unbiased economic insights for corporate leaders and policymakers.
- Designed the Data Significance Index Series, which quantified macro and microeconomic trends, helping businesses anticipate market shifts.
- Conducted policy impact analysis for municipalities, financial firms, and manufacturing sectors, optimizing strategy through predictive analytics and empirical research.
His work at Empirical Foresights positioned AI-driven economic intelligence at the forefront of decision-making for governments and businesses.
Sustainability, ESG & Clean Energy Research
Efficient World (2021 – Present)
Dr. Gupta leads AI-driven ESG strategy research, focusing on:
- Economic modeling of clean energy transitions.
- Machine-learning-based sustainability policy frameworks.
- Global climate resilience assessments, supporting carbon-neutral strategies.
Enterprise Priority Management & AI-Driven Decision Systems
Dr. Gupta is at the forefront of Evidence-Based AI, pioneering AI-driven economic modeling and policy impact assessment.
Enterprise Priority Management & Decision Intelligence
- Created an Enterprise Priority Management (EPM) platform, integrating AI with strategic decision frameworks to optimize corporate resource allocation.
- Developed a quantitative risk assessment model, helping multinational firms and policymakers make data-driven economic decisions.
Quantification of Time & Database of Actionable Wisdom
- Invented AI-driven models for time optimization, applying predictive analytics to economic efficiency.
- Built a knowledge synthesis platform, integrating 100M+ documents into an AI-powered database of actionable wisdom.
These innovations are transforming data-driven governance, economic intelligence, and AI-led policy-making.
Key Reports, Publications & Thought Leadership
Dr. Gupta has authored 250+ research reports, policy papers, and technical studies, presented at:
- World Bank & IMF development finance conferences.
- OECD economic policy forums.
- Asian Development Bank sustainability summits.
He also contributes to ISO, Standards Council of Canada, and the International Electrotechnical Commission, shaping global AI, financial regulation, and sustainable economic policies.
Impact & Legacy
Through empirical research, AI-driven economic modeling, and policy advisory, Dr. Gupta continues to:
- Advance global financial institutions’ data-driven strategies.
- Optimize multilateral lending and development impact assessments.
- Build AI-powered tools that bridge economic analysis, decision intelligence, and policy design.
His work empowers businesses, governments, and institutions to navigate economic uncertainty, improve forecasting accuracy, and drive sustainable growth.