2026
Statistics Seminar, UCLA; EECS Seminar, UC Santa Barbara; invited talks at IMSI and NITMB.
2025
Statistics Seminar, Yale University; Probability and Stochastic Processes Seminar, MIT; Schmidt + AI Seminar, University of Chicago; Royal Statistical Society Meeting in September (presented by Yeo Jin Jung); ICDSD 2025.
2024
Seminars at Duke University, the University of Chicago, and the University of Wisconsin–Madison; ICSDS 2024 (presented by Yating Liu); SNAB 2024.
2023
Seminars at the University of Washington, Northwestern University, Rutgers University, and Harvard University; JSM invited session, Stochastic Processes for a Dynamic World; 18th Workshop on Algorithms and Models for the Web Graph, University of Toronto.
2022
Uncertainty, Heterogeneity and the Reproductive Number, Simons Institute; Statistics Seminar, University of Georgia; SILO Seminar, University of Wisconsin–Madison.
2021
Algorithms and Friends Seminar, Stanford University.
Earlier presentations
Archived talk details and materials.
Convex Hierarchical Clustering for Graph Structured Data
Conference Proceedings Talk, Asilomar Conference of Signals, Systems and Computers, Pacific Grove, CA
Bayesian ICA for Brain Connectomics
Workshop Talk, 4th Graph Signal Processing Workshop, University of Minnesota, Minneapolis, MN
Hierarchical Convex Clustering for Graph Data
Workshop Talk, 3rd Graph Signal Processing, École Polytechnique Fédérate de Lausanne, Lausanne, Switzerland
Analyzing and inferring Microbiome networks.
Poster, CAT symposium, Stanford University, Stanford, CA
Joint work with Prof. Susan Holmes. 2nd best poster award.
Tracking network changes through heat wavelets with applications to the microbiome.
Poster, 2nd Graph Signal Processing Workshop, Carneggie Mellon University, Pittsburgh, OH