To build machine learning systems that can infer human preferences from their behaviors, make decisions that align with human values, and interact with humans, at the moment, I focus on three (interleaved) sub-areas:

When studying these problems, I commonly use tools from sequential decision-making and causal inference and models suggested by behavioral studies including (behavioral) economics and cognitive psychology. The particular applications driving my research now are recommendation systems and decision-support systems.