Hello.

I'm an AI researcher based out of New York City.

I'm a research scientist at Abridge, where I work on post-training and alignment of foundation models. Previously, I received my Ph.D. in Computer Science from Columbia University, advised by Zhou Yu and Smaranda Muresan. During my PhD, I was an NSF Graduate Research Fellow, an ML Alignment and Theory Scholar, and a frequent research intern at Microsoft, Google, and elsewhere.

I am a researcher who builds human-centered AI systems. My work begins from a simple premise: that building better language technologies first requires a deeper understanding of the humans they are meant to serve. To this end, I design and develop algorithmic tools that make language technologies more controllable and more responsive to people's needs, contributing towards advances in user modeling, mechanistic interpretability, model steering, and text-as-data methods. At its core, my research lives at the intersection of natural language processing, machine learning, and computational social science.

skywang [at] cs.columbia.edu