Hello! My name is Johnny, and I'm a ML Research Intern at Valence Labs and a PhD student in the Statistics Department at UBC. I'm currently working on causal representation learning, and in particular, thinking about what sufficient conditions, such as identifiability, are required to learn latent representations that we can use for downstream causal inference. I'm relatively new to the world of AI for drug discovery, so I'm always excited to learn more about this highly impactful area, and particularly the role that causality and/or representation learning can play in it. Happy to connect if any of this sounds interesting!