Hello π
I am a research scientist at Abridge, where I work on post-training and alignment of large language models. Previously, I received my Ph.D. in Computer Science from Columbia University, advised by Zhou Yu and Smaranda Muresan.
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.
During my PhD, my research was supported by a NSF Graduate Research Fellowship. I've previously interned at Abridge, Google Research, Microsoft Semantic Machines, Amazon AWS AI, Microsoft Research, NASA Earth Sciences, Patronus AI, Azure IoT, and at the University of Michigan (NSF REU). At Michigan, where I received my undergraduate degree, I had the fortune of working with David Jurgens, Joyce Chai, and Arunesh Sinha.
[academic_CV][publications]
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Email: skywang [AT] cs.columbia.edu