My research spans core ML methods and theory, their applications in healthcare and natural language processing, and critical concerns, both about the mode of inquiry itself, and the impact of the technology it produces on social systems.
My lab’s focuses include (i) building robust systems that can cope with a changing world, whether due to natural changes in the environment (so-called natural distribution shifts) or due to the strategic manipulations of other agents keen to influence automated decisions; (ii) understanding the social impacts of machine learning in a philosophically coherent way; (iii) the intersection of representation learning and causality; and (iv) leveraging ML to address impactful questions in clinical medicine. Across these many concerns, I tend to favor applications involving natural language data, and expect this interest to endure.