I’m a mixed-methods researcher, data analyst, and social scientist with a PhD in Sociology from the University of Chicago, and a career that bridges academic depth with practical, real-world application. My work spans social science research, qualitative inquiry, action and task analysis, statistical modeling, and technical analysis—often using tools like Python, SQL, ethnography, NLP, and data visualization to solve complex human and organizational problems.

 

But beneath the tools and titles, my career has always been guided by deeper commitments.

 

At the core is a belief that individuals do their best work—and societies flourish—when environments are designed to nurture and reward people’s unique combinations of talent, experience, and creativity. I’m drawn to understanding how cultures, institutions, and technologies shape (and often constrain) that potential—and how we might design systems that do better. Rooted in an intellectual and scholarly commitment for exploring how human development and individual capabilities are shaped by economic, social, and cultural systems, my work beyond academics has taken me from early roles in telecom analytics to policy-driven UX research, from corporate real estate to university libraries, and from industry consulting to ethnography. Along the way, I’ve cultivated a habit of continually soaking up new domain knowledge and integrating it into my existing frameworks and stores, while also taking what I learn across domains to generate new perspectives, tools, and solutions.

​

I’m also motivated by a deep appreciation for cultural accomplishments—science, technology, language, art—and a frustration that we still fail to leverage the full wisdom encoded in them. Organizations often lose knowledge as quickly as they generate it, repeating the same mistakes, overlooking the same insights. That blind spot—rooted in history, systems, and the limits of perspective—has always fascinated me.

 

Which brings me to AI. With the rise of large language models and knowledge-centric systems, we now have a real shot at unlocking the wisdom embedded in millennia of human experience. For the first time in history, we have tools that can process vast cultural corpora, surface hidden patterns, and synthesize insights no single scholar or team could unearth alone even in a lifetime. The potential for accelerating human understanding, improving institutional memory, and advancing societal well-being is immense—and deeply motivating to me.

 

Looking back, I realize my entire career has been preparing me for this moment: the intersection of human systems and artificial intelligence—whose integration will generate spirals of feedback between human and machine that continually enhances the capabilities of both and the emerging capabilities resulting from their collaboration. My value lies not only in the technical or analytic skills I bring, but in the ways I think about people, knowledge, complexity, and the pursuit of shared flourishing. I’m excited to contribute to this next chapter—and to help shape technologies and organizations that serve humanity at its best.