The IBI Artificial Intelligence Collaboratory is a group of Penn informatics faculty with expertise in artificial intelligence, data mining, machine learning, natural language processing, pattern recognition, and text mining who are interested in collaborating on biomedical and clinical research projects.

The goal of this collaboratory to help the biomedical research community identify collaborators with expertise in artificial intelligence, machine learning, natural language processing, and other related areas. Below is a list of faculty who are seeking new collaborations.

Yong Chen, PhD, FACMI

machine learning models for dynamic risk prediction, data privacy, distributed algorithms, semi-automated rapid systematic review and meta-analysis
Senior Fellows Artificial Intelligence Collaboratory Visual Analytics Collaboratory

Tessa Cook, MD, PhD

artificial intelligence, machine learning, natural language processing (particularly as applied to radiology reports and the electronic medical record)
Senior Fellows Artificial Intelligence Collaboratory

John Holmes, PhD, FACE, FACMI, FIAHSI

machine learning for knowledge discovery, classification and prediction, complex systems, dimensionality reduction, network models, agent-based modeling and simulation, knowledge representation for intelligent systems
Executive Committee Senior Fellows Artificial Intelligence Collaboratory

Dokyoon Kim, PhD

Interpretable deep learning, graph deep learning, machine learning on graphs, feature selection
Senior Fellows Artificial Intelligence Collaboratory

Danielle Mowery, PhD, FAMIA

clinical natural language processing, patient phenotyping, machine learning, risk prediction
Executive Committee Senior Fellows Artificial Intelligence Collaboratory Clinical Informatics Core

Marylyn Ritchie, PhD, FACMI

supervised machine learning, unsupervised phenotype clustering, feature selection, evolutionary algorithms
Executive Committee Senior Fellows Artificial Intelligence Collaboratory

Li Shen, PhD

machine learning, biomedical informatics, medical image computing, network science, visual analytics, shape analysis, big data science in biomedicine
Executive Committee Senior Fellows Bioinformatics Core Artificial Intelligence Collaboratory Visual Analytics Collaboratory

Ryan J. Urbanowicz, PhD

artificial intelligence, interpretable machine learning, feature selection, data mining pipelines, rule-based evolutionary algorithms
Artificial Intelligence Collaboratory Visual Analytics Collaboratory