Slides of Recent Talks:

• "Estimating Higher-Order Mixed Membserships via the Two to Infinity Tensor Perturbation Bound"
• "Asymptotics and Statistical Inference in High-Dimensional Low-Rank Matrix Models" (PhD defense)
• "Joint Spectral Clustering in Multilayer Degree-Corrected Stochastic Blockmodels"
• "Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence"

Talks:

• "Distributional Theory and Statistical Inference for Linear Functions of Eigenvectors with Small Eigengaps"
  Econometrics Seminar, University of Illinois Urbana-Champaign, April, 2025
  Statistics Seminar, University of Wisconsin-Madison, April, 2025
  
• "Estimation and Inference in the Tensor Mixed-Membership Blockmodel"
  International Indian Statistical Institute Conference, Lincoln, Nebraska, June, 2025
  IMSI "Statistics Meets Tensors" Workshop, University of Chicago, May, 2025
  ICSDS, Nice, France, December, 2025
  Stochastics Seminar, Georgia Tech, November, 2023
  Statistical Inference on Networks and High-Dimensional Data, University of Maryland, October, 2023
  Applied Mathematics and Statistics Postdoc Seminar, Johns Hopkins, September, 2023
  TRIPODS Postdoc Workshop, Toyota Technological Institute of Chicago, August, 2023
  
• "Statistical Inference for Low-Rank Tensors: Heteroskedasticity, Subgaussianity, and Applications"
  Statistics Department Seminar, University of Illinois Urbana-Champaign, September, 2024
  Statistics Department Seminar, University of Virginia, April, 2024
  
• "A Precise High-Dimensional Statistical Theory for Convex and Nonconvex Matrix Sensing"
  Banff International Research Station Workshop on the Mathematics of Deep Learning, Oaxaca, Mexico, June, 2024
  Video recording available here
  
• "Estimating Higher-Order Mixed Memberships via the Two to Infinity Tensor Perturbation Bound"
  Statistics Department Seminar, University of Illinois Urbana-Champaign, February, 2023
  Statistics Department Seminar, University of California-Riverside, February, 2023
  Statistics Department Seminar, University of Virginia, February, 2023
  Applied Mathematics and Statistics Department Seminar, Johns Hopkins University, January, 2023
  Statistics Department Seminar, University of South Carolina, January, 2023
  Statistics and Actuarial Science Department Seminar, University of Waterloo, December, 2022
  
• "Community Detection in Multilayer Degree-Corrected Stochastic Blockmodels"
  Applied Mathematics and Statistics Student Seminar, JHU, October, 2022
  COMPSTAT, August, 2022
  Statistical Inference on Network Models (NETSCI Satellite), July, 2022
  
• "Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence"
  Joint Statistical Meetings, August, 2022
  TRIPODS Winter School on Interplay between Artificial Intelligence and Dynamical Systems, JHU, 1/20/2022
  Video recording available here
  Applied Math and Statistics Student Seminar, JHU, 9/21/2021
  
• "Entrywise Guarantees for Sparse PCA via Sparsistent Algorithms"
  Applied Math and Statistics Student Seminar, JHU, 4/19/2022
  AISTATS, Virtual, 3/30/2022
• "From RDPGs to General Signal Plus Noise Models"
  Guest Lecture for 553.742 Statistical Inference on Graphs, JHU, 12/6/2021
• “Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues”
  Joint Statistical Meetings, August, 2021
  (Won best presentation award for Nonparametric Statistics Student Competition)
  Applied Math and Statistics Student Seminar, JHU, 2/2/2021 < br />
• “Consistent Nonparametric Hypothesis Testing for Low Rank Random Graphs with Negative or Repeated Eigenvalues”
  Joint Statistical Meetings, 8/6/2020
• “Nonidentifiability and nonparametric random graph hypothesis testing”
  MINDS Seminar, JHU, 4/7/2020
• “On Two Distinct Sources of Nonidentifiability in Latent Position Random Graph Models”
  Applied Math and Statistics Student Seminar, JHU, 1/28/2020
• “Vertex Nomination, Consistent Estimation, Adversarial Modification”
  Applied Math and Statistics Student Seminar, JHU, 4/23/2019
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