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Machine Learning - CMU  ›  People  ›  PostDocs & Project Scientists

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Kasun Amarasinghe

Kasun Amarasinghe

PostDoc with Rayid Ghani

Address
5000 Forbes Avenue
Pittsburgh, PA 15213

Forough Arabshahi

Forough Arabshahi

PostDoc with Tom Mitchell

Address
5000 Forbes Avenue
Pittsburgh, PA 15213

Dr. Arabshahi's research focuses on recovering hidden hierarchical structures underlying large scale data and leveraging hierarchies to develop accurate models for real world problems. She conducts research on neural programming, topic models, spectral methods and probabilistic graphical models. Arabshahi is currently working on the Learning by Instruction Agent (LIA) project in Dr. Tom Mitchells's lab.

Justin Khim

Justin Khim

PostDoc with Pradeep Ravikumar

Address
5000 Forbes Avenue
Gates Hillman Center
Pittsburgh, PA 15213

Dr. Khim's current research interest is in the statistical aspects of deep learning. Some topics include statistical learning, nonparametric regression, and adversarial examples. He is also interested in applications to image and text data.

Erika Laing

Erika Laing

Project Scientist with Tom Mitchell

Address
5000 Forbes Avenue
Gates Hillman Center
Office: 8120
Pittsburgh, PA 15213

Erika Laing is 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. She is also interested in developing clinical tools for enhancing the identification of language regions and laterality to aid in neurosurgical planning.  She utilizes a mixture of behavioral and neuroimaging methods (MEG/ERP, HDFT, fMRI) to gain insight into the neural underpinnings of language processing, and is excited to begin applying machine learning methods to these data sets to augment this effort.

Willie Neiswanger

Willie Neiswanger

PostDoc with Eric Xing

Address
5000 Forbes Avenue
Pittsburgh, PA 15213

Dr. Neiswanger's research Interests are: Statistical machine learning, Bayesian methods, sequential decision making, computer vision, computational biology, and analysis of text and network data

Kit Rodolfa

Kit Rodolfa

Research Project Scientist with Rayid Ghani

Address
5000 Forbes Avenue
Gates Hillman Center
Office: 8112
Pittsburgh, PA 15213

Kit’s work focuses on the intersection of machine learning and public policy and the application of new computational methods to the social good. His research interests include bias, fairness, and interpretability of machine learning methods. 

Ye Yuan

Ye Yuan

PostDoc with Ziv Bar-Joseph

Address
5000 Forbes Avenue
Pittsburgh, PA 15213