2800 Plymouth Road, Building 10-A103, North Campus Research Complex
Ann Arbor, MI 48109
Available to mentor
Brittany Baur is an Assistant Research Scientist on the Data Science Team at the Max Harry Weil Institute for Critical Care Research and Innovation. She obtained her Ph.D. in Computational Sciences from Marquette University in 2017 where her research focused on the inference of gene regulatory networks. She did her postdoctoral research at the University of Wisconsin-Madison where she studied the role of non-coding genetic variation in the context of the 3D genome on diseases. Currently at the Weil Institute, Dr. Baur’s research focuses on monitoring AI/ML decision support tools being used in clinical settings, as model performance can degrade over time. She is interested in how clinicians may respond to the model and how that influences clinician intervention and patient outcomes. She is also interested in how other factors such resource availability influence model usage and decision-making. Dr. Baur also works on research projects that integrate data from wearable devices, electronic health records, and bedside monitors to develop models to predict patient deterioration or disease outcomes.
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Postdoctoral Research AssociateUniversity of Wisconsin, Wisconsin Institute for Discovery, 2022
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PhD, Computational SciencesMarquette University, Milwaukee, 2017
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MS, BioinformaticsMarquette University & Medical College of Wisconsin, Milwaukee, 2013
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BA, Mathematics and BiologyManhattanville College, Purchase, 2011
Model Monitoring
Causal inference frameworks for clinical problems
Prediction of disease and patient outcomes
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Baur B, Roy S. Cell Rep Methods, 2023 Sep 25; 3 (9): 100594Journal ArticlePredicting patient-specific enhancer-promoter interactions.
DOI:10.1016/j.crmeth.2023.100594 PMID: 37751694 -
Song Z, Baur B, Roy S. F1000Research, 12: 941 - 941.Journal ArticleBenchmarking graph representation learning algorithms for detecting modules in molecular networks
DOI:10.12688/f1000research.134526.1 -
Baur B, Shin J, Schreiber J, Zhang S, Zhang Y, Manjunath M, Song JS, Stafford Noble W, Roy S. PLOS Computational Biology, 19 (7): e1011286 - e1011286.Journal ArticleLeveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation
DOI:10.1371/journal.pcbi.1011286 -
Dozmorov MG, Marshall MA, Rashid NS, Grible JM, Valentine A, Olex AL, Murthy K, Chakraborty A, Reyna J, Figueroa DS, Hinojosa-Gonzalez L, Da-Inn Lee E, Baur BA, Roy S, Ay F, Harrell JC. Sci Rep, 2023 May 9; 13 (1): 7522Journal ArticlePublisher Correction: Rewiring of the 3D genome during acquisition of carboplatin resistance in a triple-negative breast cancer patient-derived xenograft.
DOI:10.1038/s41598-023-33284-y PMID: 37160896 -
Dozmorov MG, Marshall MA, Rashid NS, Grible JM, Valentine A, Olex AL, Murthy K, Chakraborty A, Reyna J, Figueroa DS, Hinojosa-Gonzalez L, Da-Inn Lee E, Baur BA, Roy S, Ay F, Harrell JC. Sci Rep, 2023 Apr 3; 13 (1): 5420Journal ArticleRewiring of the 3D genome during acquisition of carboplatin resistance in a triple-negative breast cancer patient-derived xenograft.
DOI:10.1038/s41598-023-32568-7 PMID: 37012431 -
Baur B, Shin J, Schreiber S, Zhang S, Zhang Y, Manjunath M, Song J, Noble W, Roy S. 2023Software / AppThis software is associated with our 2023 PLoS Comp Bio paper and allows users to query non-coding variants and genes, as well as a network visualization tool to explore the impacted subnetworks of non-coding variants; https://regvar-networks.wid.wisc.edu/
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Song Z, Baur BA, Roy S. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022 Dec 6; 14: 2375 - 2377.Journal ArticleComparison of deep and shallow graph representation learning algorithms for detecting modules in molecular networks
DOI:10.1109/bibm55620.2022.9995141 -
2022 Mar;PresentationPolicy Writing Workshop