Quantum technology is not only an algorithms problem. It is also a supply-chain, talent, infrastructure, capital and institutional coordination problem. Policy is an active research track; finance is an emerging decision-science layer grounded in an MBA in Finance.
The visualization treats a quantum ecosystem as interacting constraints rather than a funding number: science, talent, hardware, supply, capital, policy and markets reinforce—or bottleneck—one another.
Co-authored with Shantanu Sharma for MP-IDSA. The piece frames helium dependence as a strategic vulnerability for quantum technologies and argues for coordinated support that meets immediate research needs while building longer-term capability.
Since Oct 2025. Current themes include state-level quantum capability mapping, research/industry value chains, allied-sector strengths and evidence-backed recommendations for the Indian quantum ecosystem.
Finance is deliberately presented as an emerging direction—not as an established quant-finance specialization.
Bayesian thinking, model uncertainty, regime shifts and imperfect information connect naturally to both scientific inference and financial decisions.
A bridge between quantum-network scheduling, technology policy, R&D prioritization and eventual capital-allocation questions in deep technology.
A public challenge/research codebase exploring frozen quantum reservoirs for volatility forecasting, with classical baselines, finite-shot/noise studies and hardware-oriented validation.
The site distinguishes current expertise from future direction: finance informs how I think about uncertainty, allocation and technology systems without overstating the publication record.