About Me

I'm Haoran (Matt) Wan, a data scientist and quantitative researcher with over five years of experience applying advanced statistical modeling to complex decision-making challenges in both academic and industry settings.  My work integrates insights from behavioral economics and psychology to understand how individuals navigate financial, health-related, and intertemporal choices.

As a 4th-year graduate student, my research focuses on developing predictive models that quantify how people balance short-term tradeoffs against long-term outcomes.  Using sophisticated techniques like Bayesian inference, mixed-effects modeling, causal inference, and multivariate analyses, I transform complex behavioral data into actionable insights. These insights reveal how factors such as aging and socioeconomic status shape preferences and drive decision biases.

Passionate about understanding the mechanisms behind everyday decisions, I aim to collaborate with interdisciplinary teams across industry, including areas like tech, healthcare, finance, and consulting.  My goal is to translate behavioral insights into impactful data solutions and turn advanced analytics into real-world positive impact.