I am a postdoctoral research scientist at the Data Science Institute at Columbia University where I work on methods for statistical modeling and inference with John Cunningham and Dave Blei. Before Columbia, I completed my PhD in Computer Science at Harvard University, advised by Ryan Adams. My area of research is statistical machine learning, with a focus on probabilistic modeling and scalable inference methods. I like to be application-driven; my applied work ranges from problems in astronomy to health care to sports analytics. On applications in health care, I work with Ziad Obermeyer and Sendhil Mullainathan.
Andrew C. Miller and Luke Bornn
Andrew C. Miller, Albert Wu, Jeffrey Regier, Jon McAuliffe,
Dustin Lang, Mr Prabhat, David Schlegel, and Ryan P. Adams
Advances in Neural Information Processing Systems (NeurIPS), 2015
Andrew Miller, Vishal Jain and Joseph L. Mundy