I am the ITT Career Development Assistant Professor at MIT. I work in the areas of statistics and machine learning. Before MIT, I completed my PhD at UC Berkeley. You can learn more about my background in the following short bio.
- Electrical Engineering and Computer Science (EECS) Department
- Computer Science and Artificial Intelligence Laboratory (CSAIL)
- Center for Statistics
- Institute for Data, Systems, and Society (IDSS)
I am particularly interested in Bayesian inference and graphical models—with an emphasis on scalable, nonparametric, and unsupervised learning.
Interested in working with me?
- To apply to work with me as a PhD student starting in 2016, submit your application to MIT EECS by Dec 15, 2015. More info at this link.
- I have an open postdoc position. Learn more at this link.
- I am teaching an advanced graduate course on Bayesian Modeling and Inference (6.882) this spring: [course page]
- In May 2016, I will be giving a tutorial on Nonparametric Bayesian Statistics at the MLSS in Cádiz, Spain. [link]
- I co-organized two workshops at NIPS 2015: "Bayesian Nonparametrics: The Next Generation" and "Advances in Approximate Bayesian Inference"