Danny Bickson

Project Scientist with Carlos Guestrin

Website: http://www.cs.cmu.edu/~bickson/

I am interested in bridging machine learning and parallel/distributed computing domains, typically by borrowing ML algorithms, distributing them and applying them to real large scale problems.

Brian Murphy

Project Scientist with Tom Mitchell

Website: http://www.cs.cmu.edu/~bmurphy/

My interest is in understanding the fine grain of how language is processed in the mind. I apply machine learning methods to derive models of language from the bottom up, based on large scale corpora, and on EEG, MEG and fMRI recordings of speakers' brain activity.

Ndapandula Nakashole

PostDoc with Tom Mitchell

Website: http://nakashole.com/

I am interested in information extraction, natural language processing and large-scale database storage systems. My recent work has been on relation discovery and semantic analysis of named entities.

Saket Navlakha

PostDoc with Ziv Bar-Joseph

Website: http://www.cs.cmu.edu/~saketn/

Partha Talukdar

PostDoc with Tom Mitchell

Website: http://talukdar.net/

I am broadly interested in machine learning, natural language processing, and data integration. My recent research has focused on graph-based learning algorithms for large-scale information extraction and data integration.

Chong Wang

Project Scientist with Eric Xing

Website: http://www.cs.princeton.edu/~chongw/

I am interested in probabilistic graphical models and approximate inference algorithms, nonparametric Bayesian statistics topic modeling, information retrieval and recommender systems.

Sinead Williamson

PostDoc with Eric Xing

Website: http://www.cs.cmu.edu/~sinead/

I am interested in Bayesian inference for machine learning. In particular, I am interested in nonparamteric Bayesian methods, and am working on new non-parametric priors for latent variable models. I have worked on applications including text modeling, recommender systems and survival analysis.

Yisong Yue

PostDoc with Carlos Guestrin

Website: http://www.yisongyue.com/

My research interests lie in structured prediction, information retrieval, and online algorithms. I am primarily interested in designing new methods for analyzing and accessing information, as well as understanding how users interact with and derive utility from information systems.

Pengtao Xie

Visiting Scholar with Eric Xing

Website: http://www.cs.cmu.edu/~pengtaox/

My research interests lie in developing machine learning algorithms for large scale vision and text mining problems. Currently, I am working on web scale image understanding using parallel machine learning algorithms.