My name is Caity. I'm a doctoral student of Information Systems at the Michael G. Foster School of Business at the University of Washington, advised by Leela Nageswaran and Elina Hwang. I study how people and organizations adapt to new technologies. My work combines randomized experiments with LLM-based tools and causal inference on large-scale field data, with applications in ethical decision-making, supply chains, healthcare, and retail.

Before my Ph.D., I spent several years in industry, mostly in cybersecurity, working on cyber incident investigation and response and threat intelligence. I also earned both my undergraduate and master’s degrees from the University of Washington.

I am on the 2026-2027 job market. 

I will be presenting my job market paper at both CIST and INFORMS in San Francisco, CA, this November 2026:

• CIST: Sunday, November 1, 9:30–11:00 a.m. in Imperial A, Hilton San Francisco Union Square.

• INFORMS: Monday, November 2, 11:00 a.m.–12:15 p.m. in Moscone South, Room 216. 

Research Interests

• Human–AI interaction and decision-making

• AI integration in organizational workflows and operational systems

• Causal inference for measuring technology’s real-world impact in healthcare, retail, and ethical decision-making

Professional Experience