Virtual Seminar Series on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems | An online seminar series to
Welcome · Nicolò Fusi
Cameron Freer
Description: Research papers and presentations of Diana Cai, researcher in machine learning and statistics at the Flatiron Institute.
I am a PhD student at Princeton University in Computer Science, advised by Ryan P. Adams and Barbara Engelhardt . I am a member of the Laboratory for Intelligent Probabilistic Systems Group and the Biological and Evolutionary Explorations using Hierarchical Integrative Statistical Models Group . Previously, I received an A.B. in Computer Science and Statistics from Harvard University, an M.S. in Statistics from the University of Chicago, and an M.A. in Computer Science from Princeton University. My research
Research interests: I am broadly interested in developing robust and reliable methods for data analysis and understanding their properties. I’m particularly interested in probabilistic inference and uncertainty quantification, with a focus on Bayesian methods under model misspecification, approximate inference, active learning, and applications to material science and biomedical data science .
Making probabilistic machine learning more robust to model misspecification
Virtual Seminar Series on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems | An online seminar series to
Welcome · Nicolò Fusi
Cameron Freer