Ignavier Ng

I am a PhD student in the Causal Learning and Reasoning Group at Carnegie Mellon University, advised by Profs. Kun Zhang and Peter Spirtes.

My research lies in trustworthy machine learning and causal inference. On the causal inference side, I develop methods to reliably learn causal relationships from data. On the machine learning side, I develop algorithms that are trustworthy, interpretable, and generalizable, often guided by causal principles, focusing on, e.g., representation learning, generative modeling, and domain adaptation.

Previously, I obtained my master's degree from University of Toronto and bachelor's degree from Hong Kong University of Science and Technology. During my study, I have spent time at Amazon, Microsoft Research, Google X, Mila, and MIT CSAIL.