Pioneering the Future of Intelligent Finance
Leading academic expert bridging Agentic AI, Blockchain Technology, and Quantitative Finance. Transforming how we understand autonomous systems, decentralized markets, and algorithmic trading through rigorous research and innovative pedagogy.
Academic Excellence
Combining deep theoretical expertise with practical innovation across artificial intelligence, distributed systems, and financial markets. Ideal candidate for professor-level appointments at Columbia, Cornell, Harvard, and Stanford.
Agentic AI Pioneer
Groundbreaking research in autonomous agent systems, multi-agent coordination, and AI governance frameworks across finance, healthcare, and enterprise applications.
Blockchain Thought Leader
Leading authority on cryptocurrency markets, DeFi protocols, smart contract economics, and blockchain-based financial infrastructure innovation.
High-Frequency Trading Expert
Seminal work on HFT strategies, market quality, and algorithmic execution. Author of the definitive textbook used globally in graduate programs.
Prolific Author
6 books and 30+ peer-reviewed publications spanning AI systems, blockchain technology, and quantitative finance with over 1,200 citations.
Industry Impact
Founded multiple quantitative trading firms. Technology deployed managing billions in assets. Research directly informs industry practice worldwide.
Proven Educator
Visiting/adjunct faculty at Cornell (10 years) and Johns Hopkins. Developed innovative curricula in AI, blockchain, and quantitative finance. Mentored 50+ Masters students to successful careers.
Global Recognition
Keynote speaker at 150+ international conferences. Sought-after consultant for central banks, regulators, and Fortune 500 companies on AI and blockchain strategy.
Core Research Domains
Agentic AI Systems
Pioneering research on autonomous intelligent agents that perceive, reason, and act independently across domains.
- Multi-agent reinforcement learning
- Autonomous decision-making frameworks
- AI agent coordination and game theory
- Large language model agents
- AI governance and alignment
- Explainable AI for agentic systems
- Human-AI collaboration models
Blockchain & Decentralized Finance
Leading research on cryptocurrency markets, DeFi protocols, and blockchain-based financial systems.
- Cryptocurrency market microstructure
- DeFi protocol design and economics
- Smart contract security and optimization
- Tokenomics and mechanism design
- NFT markets and digital asset valuation
- Blockchain scalability solutions
- Central bank digital currencies (CBDCs)
Quantitative Finance & Trading
Foundational contributions to market microstructure theory, algorithmic trading, and high-frequency strategies.
- Market microstructure theory
- High-frequency trading strategies
- Optimal trade execution algorithms
- Machine learning for price prediction
- Risk management frameworks
- Alternative data integration
- Systemic risk and flash crashes
"The convergence of agentic AI and blockchain technology represents the most profound transformation in financial markets since the advent of electronic trading. Understanding this intersection requires expertise spanning computer science, economics, and finance."
Why Academia?
My research agenda aligns perfectly with the strategic priorities of top academic institutions. These institutions recognize that the future of business lies at the intersection of artificial intelligence, blockchain technology, and financial innovation.
I bring a unique combination of theoretical rigor and practical impact. My work on agentic AI addresses fundamental questions about autonomous decision-making that are relevant across industries from finance to healthcare. My blockchain research informs both startup innovation and regulatory policy. My quantitative finance expertise has directly shaped trading strategies managing billions in assets.
As an educator, I excel at making complex technical concepts accessible to MBA students while maintaining the depth required for Ph.D. training. I have successfully taught courses ranging from introductory finance to advanced seminars in machine learning and market microstructure.
I am eager to join a faculty that values interdisciplinary research, real-world impact, and excellence in teaching. I would bring immediate value through research collaborations, curriculum development, industry connections, and thought leadership in AI and blockchain.
Teaching Excellence
Passionate about developing the next generation of leaders who will shape AI and blockchain innovation
MBA Courses
Fintech Innovation • Blockchain & Cryptocurrencies • AI in Business • Algorithmic Trading • Data-Driven Finance
Masters Courses
Agentic AI Systems • Advanced Market Microstructure • Machine Learning for Finance • Blockchain Economics • Research Methods
Executive Education
AI Strategy for Executives • Blockchain Business Models • Quantitative Trading Intensive • Digital Asset Management
Academic Appointments & Collaboration
Seeking professor-level appointments at leading business schools. Open to research collaborations, visiting positions, and strategic consulting engagements.
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