I am a research scientist on the Health AI team at Apple, working on new machine learning and statistical methods for health applications. Before that, I was a postdoctoral research scientist at the Data Science Institute at Columbia University where I worked 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, 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 have worked with Ziad Obermeyer and Sendhil Mullainathan. On applications in sports analytics, I worked closely with Luke Bornn.
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