Teaching

I built Data Science: Artificial Intelligence, now required of every full-time Hopkins MBA, on a simple conviction: future leaders should meet AI at its source. We read the foundational papers, train real models, and follow the line from a single neuron to the transformer behind ChatGPT. The goal is not fluency in buzzwords but the judgment to tell genuine capability from false promise.

AI belongs to everyone, not only to computer scientists. Some of my strongest teams come from history, political science, and linguistics. In the AI Lab, those teams take on a real healthcare problem; one prototyped an at-home, AI-guided cervical cancer screening device that went on to draw national attention. That is the whole idea: theory you can build with.