Scholar
Katherine Tsai
Google Scholar ID: h49TNwwAAAAJ
University of Illinois Urbana-Champaign
Citations & Impact
Citations
78
H-index
5
i10-index
2
Publications
9
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- - PhD Thesis: Graphical Models for High-dimensional Stochastic Processes: Estimation and Inference
- - Preprints: High-dimensional Markov-switching Ordinary Differential Processes
- - Journal Publications: Latent Multimodal Functional Graphical Model Estimation (JASA, 2024); A Nonconvex Framework for Structured Dynamic Covariance Recovery (JMLR, 2022); Joint Gaussian graphical model estimation: A survey (WIREs Computational Statistics, 2022)
- - Conferences and Workshops: Aligning Compound AI Systems via System-level DPO (NeurIPS, 2025); Proxy Methods for Domain Adaptation (AISTATS, 2024); Adapting to Latent Subgroup Shifts via Concepts and Proxies (AISTATS, 2023); On Feasible Statistics of Graph Probabilistic Generative Models (MLoG Workshop, 2023)
Research Experience
- - Interned at Google Brain and Intel AI Lab
- - Member of Stanford Trustworthy AI Research Lab
Education
- - PhD: Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Advisor: Sanmi Koyejo
- - Master's: Electrical Engineering, University of Illinois Urbana-Champaign
- - Bachelor's: Electrical Engineering, National Taiwan University
Background
- Research Interests: Estimations and predictions in dynamical systems, especially where data are collected in a non-i.i.d. fashion. Professional Field: Electrical and Computer Engineering. Brief Introduction: Recently obtained a PhD from the University of Illinois Urbana-Champaign and joined Apple.
