The paper of Vineet and Allen on “Evaluation of Causal Structure Learning Methods on Mixed Data Types” was accepted for oral presentation in the 2018 ACM SIGKDD Workshop on Causal Discovery. The paper will be published in the journal Proceedings in Machine Learning Research. Congratulations Vineet and Allen!
Dimitris is a co-author in a paper entitled “Respiratory microbiome profiling for etiologic diagnosis of pneumonia in mechanically ventilated patients“, which was accepted in Frontiers in Microbiology. He used probabilistic graphical models to analyze microbiome data, protein biomarkers and clinical data to identify which variables are more directly linked to bacterial culture…
Dimitris and Vineet have gotten a paper accepted at the European Conference in Computational Biology (ECCB 2018). The paper describes a new algorithm, piMGM, to incorporate informative priors during the learning of probabilistic graphical models.
We welcome to the lab Grace Zhang, MD student at Pitt, who has won the Dean’s Summer Research Scholarship.
This year, Kristina presented her work on applications of causal modeling in COPD at the American Thoracic Society (ATS) conference.