2017 CCD Datathon Winners

Center for Causal Discovery Datathon Winners for 2017 The Center for Causal Discovery (CCD) held the second annual datathon at the end of the 2017 Summer Short Course on Causal Discovery at Carnegie Mellon University, Pittsburgh, Pennsylvania. The five day course from June 12 to 16 included three and a […]

Distinguished Lecture in Causal Discovery – Dr. Marloes Maathuis

Center for Causal Discovery Distinguished Lecture in Causal Discovery University of Pittsburgh, Carnegie Mellon University, Pittsburgh Supercomputing Center and Yale University Marloes Maathuis, PhD, Professor, Department of Statistics, ETH Zurich, Switzerland, “High-Dimensional Consistency in Score-Based and Hybrid Structure Learning ,” at 9:00 am on Friday, November 11, 2016, in Rooms 407A/B […]

Distinguished Lecture in Causal Discovery – Dr. Ricardo Silva

Center for Causal Discovery Distinguished Lecture in Causal Discovery University of Pittsburgh, Carnegie Mellon University, Pittsburgh Supercomputing Center and Yale University Ricardo Silva, PhD, Lecturer, Department of Statistical Science and Centre for Computational Statistics and Machine Learning, University College London, “Learning Causal Effects: Bridging Instruments and Backdoors,” at 11:00 am […]

Distinguished Lecture in Causal Discovery – Dr. Ioannis Tsamardinos

Center for Causal Discovery Distinguished Lecture in Causal Discovery University of Pittsburgh, Carnegie Mellon University, Pittsburgh Supercomputing Center and Yale University Ioannis Tsamardinos, PhD, Associate Professor, Department of Computer Science, University of Crete, Greece, “Logic-Based Causal Discovery for Heterogeneous Datasets,” at 11:00 am on Friday, August 19, 2016, in Rooms […]

Causal Discovery in the Cloud

Two Big Data to Knowledge (BD2K) Centers of Excellence, the Center for Causal Discovery (CCD) in Pittsburgh and the Patient-Centered Informatics Common: Standardized Unification of Research Elements (PIC-SURE) at Harvard Medical School, have been awarded a supplement of $653,000 from the National Institutes of Health to prototype a federated data […]

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