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, Nicholas J. Foti, and Emily B. Fox
Machine Learning for Healthcare, 2020
[abstract]
[arxiv]
Yixin Wang, Andrew C. Miller, and David M. Blei
Statistical Science, 2019
[abstract]
[link]
[original article |
rejoinder]
Robert Evan Johnson, Scott Linderman, Thomas Panier,
Caroline Lei Wee, Erin Song, Kristian Joseph Herrera,
Andrew Miller, Florian Engert
[abstract]
[bioarxiv]
Andrew C. Miller, Ziad Obermeyer, John P. Cunningham, and Sendhil Mullainathan
International Conference on Machine Learning (ICML), 2019
[abstract]
[pdf]
Andrew C. Miller, Ziad Obermeyer, and Sendhil Mullainathan
Proceedings of the AMIA Summit on Clinical Research Informatics (CRI), 2019
[abstract]
[pdf]
Andrew C. Miller, Ziad Obermeyer, and Sendhil Mullainathan
Machine Learning for Health (NeurIPS Workshop), 2018
[abstract]
[arxiv]
Andrew C. Miller, Ziad Obermeyer, David M. Blei, John P. Cunningham, and Sendhil Mullainathan
Machine Learning for Health (NeurIPS Workshop), 2018
[abstract]
[arxiv]
Jeffrey Regier, Andrew C. Miller, David Schlegel, Ryan P. Adams, Jon D. McAuliffe, and Prabhat
Annals of Applied Statistics (in press), 2019
[abstract]
[arxiv]
Yoon Kim, Sam Wiseman, Andrew C. Miller, David Sontag, Alexander M. Rush
International Conference on Machine Learning (ICML), 2018
[abstract]
[arxiv]
Andrew C. Miller, Nicholas J. Foti, Ryan P. Adams
Advances in Approximate Bayesian Inference (NeurIPS Workshop), 2017
[abstract]
[pdf]
Andrew C. Miller, Sendhil Mullainathan, Ziad Obermeyer
Machine Learning for Health (NeurIPS Workshop), 2017
[abstract]
[pdf]
Andrew C. Miller, Nicholas J. Foti, Alexander D'Amour, and Ryan P. Adams
Advances in Neural Information Processing Systems (NeurIPS), 2017
[abstract]
[arxiv]
[code]
Andrew C. Miller, Nicholas J. Foti, and Ryan P. Adams
International Conference on Machine Learning (ICML), 2017
Early version in
AABI 2016 (NeurIPS Workshop)
[abstract]
[arxiv]
[code]
Andrew C. Miller and Luke Bornn
MIT Sloan Sports Analytics Conference, 2017
third place, MIT SSAC Research Paper Competition
[abstract]
[pdf]
Andrew C. Miller and Luke Bornn
in submission
[abstract]
Scott W. Linderman, Matthew J. Johnson, Andrew C. Miller, Ryan P. Adams, David M. Blei, and Liam Paninski
AISTATS, 2017
[abstract]
[arxiv]
[aistats]
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
[abstract]
[pdf]
Vasileios Lampos, Andrew C. Miller, Steve Crossan, and Christian Stefansen
Scientific Reports, 2015
[abstract]
[pdf]
Jeffrey Regier, Andrew C. Miller, Jon McAuliffe,
Ryan Adams, Matt Hoffman, Dustin Lang, David Schlegel, and Mr Prabhat
International Conference on Machine Learning (ICML), 2015
[abstract]
[icml]
Alexander Franks, Andrew Miller, Luke Bornn, and Kirk Goldsberry
The Annals of Applied Statistics, 2015
[abstract]
[AoAS]
[arxiv]
Alexander Franks*, Andrew Miller*, Luke Bornn, and Kirk Goldsberry
MIT Sloan Sports Analytics Conference, 2015
best paper award, MIT SSAC Research Paper Competition
[more]
[pdf]
[talk]
Andrew Miller, Luke Bornn, Ryan Adams and Kirk Goldsberry
International Conference on Machine Learning (ICML), 2014
[more]
[arxiv]
Andrew Miller, Vishal Jain and Joseph L. Mundy
[more]
Vishal Jain, Andrew Miller and Joseph L. Mundy
2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
[more]
[pdf]
Andrew Miller, Vishal Jain and Joseph L. Mundy
Proceedings of the Fourth Workshop on General Purpose Processing on Graphics Processing Units, ASPLOS 2011
[more]
[pdf]