1. Two papers accepted to ICML 2025: 'Causal Velocity Models' and 'Identifying metric structures in LVMs'.
2. Internship project on matching data from unpaired modalities using propensity scores will appear at NeurIPS 2024.
3. Published a paper 'Indeterminacy in Generative Models: Characterization and Strong Identifiability' at AISTATS 2023.
Research Experience
Interned at Valence Labs with Jason Hartford, working on causal representation learning from multiple modalities.
Education
Ph.D. Student in the Department of Statistics at the University of British Columbia, supervised by Ben Bloem-Reddy.
Background
Broadly interested in causal machine learning and with generative models. Recently, has been interested in the interplay of dynamical systems, causality, and semi-parametric inference.