Brittany Baur, PhD
Assistant Research Scientist
Emergency Medicine
Department of Emergency Medicine, Weil Institute for Critical Care Research and Innovation
2800 Plymouth Road, Building 10-A103, North Campus Research Complex
Ann Arbor, MI 48109
[email protected]

Available to mentor

Brittany Baur, PhD
Assistant Research Scientist
  • About
  • Qualifications
  • Research Overview
  • Recent Publications
  • About

    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.

    Qualifications
    • Postdoctoral Research Associate
      University of Wisconsin, Wisconsin Institute for Discovery, 2022
    • PhD, Computational Sciences
      Marquette University, Milwaukee, 2017
    • MS, Bioinformatics
      Marquette University & Medical College of Wisconsin, Milwaukee, 2013
    • BA, Mathematics and Biology
      Manhattanville College, Purchase, 2011
    Research Overview

    Model Monitoring
    Causal inference frameworks for clinical problems
    Prediction of disease and patient outcomes

    Recent Publications See All Publications
    • Journal Article
      Predicting patient-specific enhancer-promoter interactions.
      Baur B, Roy S. Cell Rep Methods, 2023 Sep 25; 3 (9): 100594 DOI:10.1016/j.crmeth.2023.100594
      PMID: 37751694
    • Journal Article
      Benchmarking graph representation learning algorithms for detecting modules in molecular networks
      Song Z, Baur B, Roy S. F1000Research, 12: 941 - 941. DOI:10.12688/f1000research.134526.1
    • Journal Article
      Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation
      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. DOI:10.1371/journal.pcbi.1011286
    • Journal Article
      Publisher Correction: Rewiring of the 3D genome during acquisition of carboplatin resistance in a triple-negative breast cancer patient-derived xenograft.
      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): 7522 DOI:10.1038/s41598-023-33284-y
      PMID: 37160896
    • Journal Article
      Rewiring of the 3D genome during acquisition of carboplatin resistance in a triple-negative breast cancer patient-derived xenograft.
      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): 5420 DOI:10.1038/s41598-023-32568-7
      PMID: 37012431
    • Software / App
      This 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/
      Baur B, Shin J, Schreiber S, Zhang S, Zhang Y, Manjunath M, Song J, Noble W, Roy S. 2023
    • Journal Article
      Comparison of deep and shallow graph representation learning algorithms for detecting modules in molecular networks
      Song Z, Baur BA, Roy S. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022 Dec 6; 14: 2375 - 2377. DOI:10.1109/bibm55620.2022.9995141
    • Presentation
      Policy Writing Workshop
      2022 Mar;