Quanhan (Johnny) Xi
I am a Ph. D. Student in the Department of Statistics at the University of British Columbia, supervised by Ben Bloem-Reddy. Recently, I have been interested in causal discovery, generative modelling, and their application in high-throughput biology. I have also been an intern with Jason Hartford at Valence Labs, where I worked on causal representation learning and multimodality.
news
| May 1, 2024 | We have a paper from my time at Valence accepted as a spotlight presentation at the MLGenX workshop on using propensity scores to align unpaired samples. In biology, you can in theory have multimodal measurements of the same cell in biology, but each measurement process is destructive, putting us naturally in a “potential outcomes” setting. See the preprint on arXiv! |
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| Dec 4, 2023 | I will be presenting a poster at the CRL workshop on triangular monotonic maps for causal discovery. See the paper. |
| Nov 22, 2023 | I gave a talk on the statistical modelling aspects of identifiability in generative models at the CARE reading group, organized by Valence Labs. There is a recording available on YouTube! |