Behavioral economist with experience in individual behavior and decision making research, experimental design, and causal inference. Passionate about using data and experiments to develop new insights on individual preferences and behavior.
I have experience partnering with senior stakeholders, product managers, UX strategist, business leaders, and other researchers to study human behavior, uncover insights, presenting to key stakeholders (non-technical audience), and influencing business strategy.
Currently, I’m a Senior Data Scientist on the People Analytics & Research team at Airbnb conducting research on employee programs and journeys, equitable outcomes, and worker behaviors and leading the survey team. Prior to joining Airbnb, I was a People Analytics Researcher at Google examining the impact of hybrid work on workers’ experiences and key outcomes using large administrative data, tooling data, and surveys.
Prior to joining the tech industry, I was a Research Economist at Vanguard studying investor behavior, financial attention, and household decision making using large administrative data, clickstream data, and surveys.
I was also a Visiting Scholar at The Wharton School using experiments to explore how social preferences and information affect individual decision making. In particular, my research examined how information can lead to deviations from classical conceptions of rationality but can be explained by social preferences, such as social norms or fairness concerns.
I received my PhD in applied economics from The Wharton School and my undergraduate degree in economics from The University of Chicago, after which I worked as an economics consultant at Navigant Consulting Inc.
Jennie Huang 