I am the Eliot Horowitz Assistant Professor in the Computer Science Department at Brown University. My latest research is on improving the processes by which humans teach and instruct computers. That includes learning to generalize from fewer examples, with methods like zero-shot and few-shot learning, as well as engineering training data, with methods like synthetic data generation and programmatic weak supervision. I measure that improvement in terms of reduction in the effort required by people—especially non-computer scientists in specialized, technical domains—to get computers to do what they want. Applications of our group’s work include information extraction, image understanding, scientific discovery, and other areas of data science.