AI Agents Research
Stanford GSB research exploring how enterprise AI agents can transform business workflows. Investigating autonomous decision-making, human-AI collaboration, and organizational adoption patterns.
MSx '26, Stanford GSB
Building at the intersection of technology and healthcare. Exploring AI agents and their potential to transform enterprise workflows.

A selection of my recent work across research, development, and healthcare analytics.
Exploring AI agents, enterprise technology, and the future of work.
A comprehensive framework for understanding and building effective AI agents. From context management to tool orchestration, these eight pillars form the foundation of robust agentic systems.
Most enterprise AI initiatives never make it past the pilot phase. The reasons are rarely technical. Understanding organizational dynamics, change management, and realistic expectations is key to success.
The context window is both the greatest strength and biggest limitation of modern LLMs. Learn strategies for effective context management that separate production-ready agents from demos.
Key findings from our research on why enterprise AI agent deployments fail and what organizations can do differently.
AI pilot projects fail to move beyond proof-of-concept stage into production deployment.
The AI model contributes only 30-40% to overall system success. Infrastructure matters more.
Projects cite system integration as the primary blocker preventing successful deployment.
Exploring the intersection of technology, healthcare, and enterprise innovation.
Exploring how autonomous AI systems can augment human capabilities and transform enterprise workflows through intelligent automation.
Building technology solutions that improve patient outcomes and healthcare delivery at scale while maintaining privacy and compliance.
Designing and implementing systems that drive efficiency and innovation in large organizations through strategic technology adoption.
Interested in collaborating on AI, healthcare tech, or enterprise solutions? I'd love to hear from you.