PostDocs & Project Scientists-Machine Learning Department - Carnegie Mellon University

Bryon Aragam

Bryon Aragam

PostDoc with Eric Xing

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

My main interests involve problems at the intersection of high-dimensional statistics and machine learning, with a focus on developing scalable algorithms with sound theoretical guarantees. I am particularly interested in graphical models, multi-task learning, and learning in nonconvex and distributed settings. Much of my work is motivated by applications to computational biology, genomics, and causal inference.


Will Bishop

Will Bishop

PostDoc with Byron Yu

Research Interests: Machine Learning and statistical methods applied to the analysis and decoding of neuronal data for prosthetic and basic science purposes

Igor Labutov

Igor Labutov

PostDoc with Tom Mitchell


Erika Laing

Erika Laing

Project Scientist with Tom Mitchell

I am interested in unraveling the neural representation of language in the human brain, specifically from a network level perspective, and with a special interest in the online integration of linguistic content as it is being heard or read.  I am also interested in developing clinical tools for enhancing the identification of language regions and laterality to aid in neurosurgical planning.  I utilize a mixture of behavioral and neuroimaging methods (MEG/ERP, HDFT, fMRI) to gain insight into the neural underpinnings of language processing, and am excited to begin applying machine learning methods to these data sets to augment this effort.

Xiaodan Liang

Xiaodan Liang

PostDoc with Eric Xing

Website: http://www.cs.cmu.edu/~xiaodan1/

I have interests in broad computer vision, deep learning directions and analyzing biological images. Specifically, my research works mainly focus on generating hierarchical knowledge representation for the images, including the basic object detection and images, and the higher-level visual reasoning.


Bishan Yang

Bishan Yang

PostDoc with Tom Mitchell

Website: http://www.cs.cornell.edu/~bishan/

My research interests are natural language processing and machine learning. Especially, I am interested in machine learning techniques that can help natural language understanding and knowledge extraction from text. My PhD work focused on joint inference methods for fine-grained opinion extraction, event extraction, and event coreference resolution. I have also worked on knowledge representation learning and reasoning, active learning, and large-scale data mining.