My research interest mainly lies in the intersection of causality and machine learning. I am currently particularly interested in two questions:

i. How to advance machine learning to practically discover causality in real-world scenarios with identification guarantees under the least and weakest assumptions?

ii. How to leverage the causality framework to tackle adaptation and generalization problems in machine learning like Transfer Learning/Meta-learning/Continual Learning…”