With an interdisciplinary background spanning physics, economics, and instructional technology, I am seeking a Ph.D. position focused on improving the efficiency and returns of investments in innovative projects. My goal is to analyze and integrate factors from multiple disciplines to enhance project performance and to strengthen the long-term outcomes of individuals, organizations, and society.

This diverse academic and professional experience has shaped a central research agenda: to explore and develop data-driven solutions in three interconnected areas that advance innovation, optimize investment returns, and promote sustainable organizational growth.

I am particularly interested in three interrelated areas:

• Innovation and Commercialization: Identify the key factors that increase the likelihood of successful innovation, facilitate the commercialization of novel ideas, and improve forecasts of returns on investments in frontier technologies and companies.
• Algorithms for Performance and Return Optimization: Investigate causal relationships, build predictive models, and design algorithms that help private equity firms, institutional investors, and other organizations maximize long-term investment returns.
• Organizational Performance: Create evidence-based instructional designs, incentive strategies, and collaboration frameworks that enable highly skilled professionals to overcome barriers to interdisciplinary work, thereby strengthening creativity, sustainable growth, and social contribution in large organizations.