Dayi (David) Li (李大一), Ph.D.

I am an NSERC Canada Postdoctoral Research Award Fellow at the University of Waterloo, where I work with Alex Stringer and Will Percival. Before joining Waterloo, I was a postdoctoral fellow and PhD student at the University of Toronto, where I worked with Gwendolyn Eadie, Patrick Brown, and Roberto Abraham. During my doctoral studies, I was a Data Sciences Institute Doctoral Fellow and a CANSSI Ontario Multidisciplinary Doctoral trainee.

My research focuses on developing efficient and robust surrogate-based Bayesian computational methods for complex, computationally expensive scientific models arising in cosmology and astrophysics. On the theoretical side, I study the statistical convergence guarantees of these methods, together with practical measures of their performance and reliability.

I am also interested in developing statistical models for extracting scientifically meaningful signals from complex data. One example is the detection of ultra-diffuse galaxies through the spatial distribution of their globular clusters.