Oscar Romero

Oscar Romero

Research Project Scientist

Address
5000 Forbes Avenue
Gates Hillman Center
Office: 8108
Pittsburgh, PA 15213

Oscar's research interests are focused on studying Cognitive Architectures for Intelligent Agents using biological, psychological, computational and neuro-physiological theories. He is particularly interested in Computational Intelligence topics such as Cognitive Modeling, Self-regulated systems, Autopoietic systems, Self-organization, Evolutionary Computation, Artificial Immune Systems, Connectionist systems, Machine Learning, Biologically Inspired systems, Robotics, Artificial Life, Semantic Web, Complex systems, Intelligent Tutoring Systems and Intelligent Virtual Environments.

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.

Bryon Aragam

Bryon Aragam

Project Scientist

Address
5000 Forbes Avenue
Gates Hillman Center
Office: 8116
Pittsburgh, PA 15213

Dr. Aragam's 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. He is particularly interested in graphical models, multi-task learning, and learning in nonconvex and distributed settings. Much of his work is motivated by applications to computational biology, genomics, and causal inference.

David Inouye

David Inouye

PostDoc with Pradeep Ravikumar

Address
5000 Forbes Avenue
Gates Hillman Center
Office: 8118
Pittsburgh, PA 15213

Dr. Inouye completed his Comptuer Science PhD at University of Texas at Austin working in the Center for Big Data Analytics with Inderjit Dhillon and Pradeep Ravikumar (now at CMU). His research interests include: h

igh-dimensional probabilistic graphical models, v

isualization of machine learning models (particularly graphical models), and unsupervised deep learning for generative probabilistic models

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.