Distinguished Lecture in Causal Discovery – Dr. Teresa M. Przytycka

 Teresa M. Przytycka, PhD, Senior Investigator, Algorithmic Methods in Computational and Systems Biology (AlgoCSB), National Center for Biotechnology Information, National  Institutes of Health, will deliver the Distinguished Lecture in Causal Discovery, “Understanding Genotype-Phenotype Relations via Network Approaches,” at 11:00 am on Thursday, December 3, 2015, in the Rooms 407A/B BAUM, […]

Help CCD Plan its First Hackathon

A key goal at the CCD is the development of user-friendly software to help the scientific community better understand and more easily incorporate causal modeling and discovery in biomedical research. We are planning a hackathon to address the causal modeling needs of our users and are seeking feedback on two potential activities: a Traditional Coding Hackathon for […]

CCD Collaborators Funded to Develop Graphical Approaches to Integrate & Analyze Multi-Modal Data

Although high-throughput genomic and imaging technologies have revolutionized clinical diagnosis and research, they have also created a significant challenge for the discovery of causal associations among variables. The resulting datasets are large and multi-modal, in that the measured variables are of different types: continuous (omics, fMRI measurements), binary (SNPs, sex), numerical (age, drug dosage), […]

JAMIA Features the CCD & other BD2K Centers

The Journal of the American Medical Informatics Association has published a series of open-access articles summarizing the current Big Data to Knowledge (BD2K) Centers of Excellence, including the Center for Causal Discovery (CCD). These articles encapsulate the organization, data science research focus, overall goals, and training activities of each center […]

Distinguished Lecture in Causal Discovery – Dr. Sergey Plis

Center for Causal Discovery Distinguished Lecture in Causal Discovery University of Pittsburgh, Carnegie Mellon University, Pittsburgh Supercomputing Center and Yale University Sergey Plis, PhD, Director of Machine Learning, Mind Research Network, will deliver the Distinguished Lecture in Causal Discovery, “In Search of a Common Scale for Causal Fusion in Neuroimaging,” […]

Million-Variable Search Milestone Achieved

Within 7 months of the launch of the Center for Causal Discovery (CCD), Dr. Joseph Ramsey and his colleagues in the Algorithm Development group successfully scaled up several Directed Acyclic Graph (DAG) search algorithms, including robust Greedy Equivalent Search (GES), to recover sparse linear structures on up to 1 million […]

Distinguished Lecture in Causal Discovery – Dr. Kathleen Gates

Slides and Video Available    Kathleen Gates, PhD, assistant professor of  quantitative psychology in the Department of Psychology at the University of North Carolina at Chapel Hill, “Clustering Heterogeneous Samples During Model Selection,” at 11 a.m. on Thursday, April 23, in Rooms 407A/B BAUM, 5607 Baum Blvd., The Offices at Baum. Abstract: Individuals […]

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