From uncertainty to informed action
I use data, causal reasoning, and structured experimentation to understand complex systems and make better decisions.
Trying is inevitable.What matters is whether each attempt informs the next decision.
I work on consequential problems where the information is incomplete, the system is changing, and decisions still have to be made. That work has taken me across causal research, public-data infrastructure, entrepreneurship, consulting, and public communication.
I am completing a Ph.D. in Political Science at Northwestern and hold an M.S. in Applied Statistics.
Research
Evolving networks
Causal inference when the system itself changes
Most causal methods assume the relationships through which effects spread stay fixed. My dissertation asks what happens when an intervention changes the network itself.
Data systems
300,000+
observations, from more than a decade of dispersed public records
For a National Science Foundation project, I built the data infrastructure end to end — collection, reconciliation, validation — across more than a decade of inconsistent reporting.
Entrepreneurship
From launch to repeatable growth
a consumer business built under real constraints
Helped build and operate a consumer coffee business, leading growth strategy, digital marketing, pricing, performance analysis, and recurring decisions under limited resources.
Communication
380,000+
community reached through a social-science platform
Across teaching, public analysis, and digital media, making technical ideas accessible without making them simplistic — including statistics taught to more than 150 students.
I work with research teams and organizations on problems involving study design, complex or fragmented data, statistical modeling, causal inference, and the communication of quantitative findings.
My consulting work at Northwestern has reinforced a principle that also guides my research: the most sophisticated method is useful only when it answers the actual decision in front of the client.
Current focus
How should we evaluate a decision when it changes not only outcomes, but also the system through which those outcomes unfold?
My current research develops causal methods for settings in which policies reshape evolving networks. The broader aim is to make credible evaluation possible when interventions, relationships, and behavior change together over time.
Emerging focus
I am increasingly interested in how people delegate judgment to AI: when AI complements expertise, when it encourages overreliance, and how repeated human–AI interaction reshapes trust, behavior, and institutions.
