About

After graduating from undergrad, I worked as a social worker for several years as a reunification specialist with families of children in foster care. I then completed my graduate work with Dr. Kim L. Huhman at Georgia State University studying the genetic and epigenetic mechanisms of long-term behavioral changes after exposure to acute social stress. My postdoctoral training was under the direction of Dr. Elliott Albers at the Center for Behavioral Neuroscience and Dr. Serena Dudek at the NIH/NIEHS where I continued to investigate molecular mechanisms of stress-induced behavior. Before joining the faculty at Georgia Tech, I was an Assistant Professor in the Department of Human Genetics at Emory University School of Medicine investigating genetic and molecular mechanisms underlying addiction-related behavior and behavioral changes in models of neurodegeneration.

About

My work is at the intersection of human judgment and decision-making, probabilistic reasoning, belief revision, and statistical inference. The study of how people make decisions under uncertainty is the study of how people make judgments with incomplete information. Put another way, it’s how we function as intuitive statisticians in our day to day lives. As such, I believe the study of judgment and decision-making is inseparable from the study of statistical inference, and they are in fact two sides of the same coin. Becoming better parsers and communicators of statistical information is crucial for becoming better decision-makers.
 
More concretely, I have two primary active research tracks. The first involves understanding what makes a person a good forecaster. I am currently partnered with the Forecasting Research Institute on several projects—most notably to develop a test of forecasting proficiency. The second involves understanding how people take advice or revise their judgments and beliefs when presented with new information. There are many subtle but important nuances to the psychological process of belief revision that depend not only on the content domain, but the format of the belief report or elicitation and situational context as well.

About

To better facilitate human-autonomy teaming (HAT) in the future hybrid society, my research entwines communication, cooperation, and coevolution between humans and artificial intelligence (AI). Specifically, I model trust in human-AI real-time communications, social interactions, and long-term dynamics in safety-critical domains. My research findings further the understanding of trust in HAT and provide broader design implications for conversational robots, safety policy for autonomous vehicles, and theoretical frameworks for safe-critical sociotechnical systems.

For more information, please refer to my personal website.