Willie Neiswanger

Machine learning at CMU > SCS > MLD
curriculum vitae (cv)

I am a sixth year PhD student in the Machine Learning Department at Carnegie Mellon University, advised by Eric Xing.

Research: I develop methods for distributed inference and probabilistic programming to help scale and automate machine learning. My interests include computer vision, computational biology, and analysis of text and network data. I also work on sequential decision making under uncertainty, with application to problems in the sciences and engineering.

Previously, I studied at Columbia University, where I did research with the Wiggins Lab and Frank Wood.



A full list of my publications can be found here.