I am a Research Scientist in the Computer Vision and Artificial Intelligence group at General Electric Research Center (GRC). In 2022, I received my PhD in Statistics from UCLA, working with Dr. Tao Gao , where I was funded by the NSF as a Graduate Research Fellow. Primarily, I am interested in incorporating insights about human cognition into statistical models of social intelligence.
I earned my bachelor's degree in Statistics and Cognitive Psychology at Williams College, focusing on modeling attention in category learning. I also worked as a Research Assistant at Fred Hutchinson Cancer Research Center on modeling missed cases of infectious diseases. After coming to UCLA, I co-founded the UCLA Society of Women in Statistics in the fall of 2018.
When I am not doing research, you can find me salsa dancing, baking decorative pies , and taking photographs.PhD Statistics
UCLA, 2022
BS Statistics, Psychology with HonorsWilliams College, 2017
Humans are astonishingly good at conveying rich ideas with sparse and often ambiguous signals using the relevant context of the situation and shared perceptual scene. I am interested in building computational models to explain human communication as a way for cooperators to ‘do things together,’ augmented with information from cognitive science, game theory, and philosophy. Not only have statistical models of human minds become more powerful, but also many philosophical theories on cooperation have recently been rigorously tested, providing the empirical findings for a cooperative blueprint grounded in evidence. I aim to formalize some of these findings using tools from Bayesian inference, rational planning, and information theory.
2020: Received UCLA Statistics Department's TA of the year award
I have TAed for the following courses: