Led by Prof. Changhee Lee, the Actionable Intelligence Lab’s research team is developing a wide range of ML approaches including self- and semi-supervised learning, causal inference, automated ML, and many more. The lab's shared mission is to develop cutting-edge machine learning methods and techniques, with the goal of improving domains -- especially healthcare and manufacturing -- where critical decision-making is the key.