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.
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
artificial intelligence, machine learning, natural language processing (particularly as applied to radiology reports and the electronic medical record)
Senior Fellows Artificial Intelligence Collaboratory
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
Interpretable deep learning, graph deep learning, machine learning on graphs, feature selection
Senior Fellows Artificial Intelligence Collaboratory
machine learning, pattern recognition, medical image analysis, radiomics, radiogenomics, imaging biomarkers, integrated diagnostics
Senior Fellows Artificial Intelligence Collaboratory Visual Analytics Collaboratory
artificial intelligence, automated machine learning, feature engineering, feature selection, genetic programming
Artificial Intelligence Collaboratory Visual Analytics Collaboratory
clinical natural language processing, patient phenotyping, machine learning, risk prediction
Executive Committee Senior Fellows Clinical Informatics Core Artificial Intelligence Collaboratory
supervised machine learning, unsupervised phenotype clustering, feature selection, evolutionary algorithms
Executive Committee Senior Fellows Artificial Intelligence Collaboratory
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