Urska Cvek is Professor of Computer Science at LSUS, where she holds the Lisa Burke Bioinformatics Endowed Professorship. She received her Bachelor’s in Economics degree from University of Ljubljana, Slovenia (1995). She discovered her passion for computing while pursuing her graduate Business Administration degree at University of Massachusetts Lowell where she was awarded her M.B.A. (1997) and Doctor of Science in Computer Science (2004) degrees. Prior to joining LSUS, she co-founded Anvil, Inc., a data visualization company, and worked as a research assistant at the Institute for Visualization and Perception Research and Center for Family, Work and Community at UMass Lowell.
Dr. Cvek loves to share her knowledge and skills with her students and cross-pollinates her teaching with her research work. She is a computer scientist with a focus on insightful and novel data presentation and her research work and publications include the design and application of data analytics and information visualization techniques to a variety of data sources, from biomedical and clinical to engineering. These techniques discover and identify trends, patterns, and anomalies in large volumes of data. She has a unique multidisciplinary background, expertise and insight that spans more than twenty years. She has been initiating, planning, developing, and executing research projects independently and with collaborators in multidisciplinary teams that have resulted in grant-funded proposals and publications by faculty, undergraduate, and graduate students in the Laboratory for Advanced Biomedical Informatics (LABi), which she co-founded and co-directs.
P. C.S.R. Kilgore, M. Trutschl, H.W. Nam, A.P. Cornelius, U. Cvek. “Augmented classical self-organizing map for visualization of discrete data.” Chapter in Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery, Studies in Computational Intelligence, 1014. ISBN: 978-3030931186. April 2022.
A. Rodríguez Rosa, S.Z. Afzal, A. Dotiwala, L. McCalmut, J. Yang, G. Smith, U. Cvek, P. Kilgore, E. Clifford, A. Cornelius. COVID-19 prognostic factors: A retrospective analysis to determine risk factors contributing to poor outcomes. MMEM Journal, Feb. 28, 2022, https://meyeringmethod.com/covid-19-prognostic-factors-a-retrospective-analysis-to-determine-risk-factors-contributing-to-poor-outcomes/.
B. Cornelius, D. Clark, B. Williams, A. Rogers, A. Popa, P. Kilgore, U. Cvek, M. Trutschl, K. Boykin, A. Cornelius. Cornelius, B. G., Clark, D., Williams, B., Rogers, A., Popa, A., Kilgore, P., Cvek, U., Trutschl, M., Boykin, K., & Cornelius, A. (2021). A retrospective analysis of calcium levels in pediatric trauma patients. International journal of burns and trauma, 11(3), 267–274. June 15, 2021.
K. Kohli, H. Samant, K. Khan, S. Pandit, K.A. Morgan, U. Cvek, P. Kilgore, M. Trutschl, E. Mijalis, P.A. Jordan, J. Morris, J.S. Alexander. Risk Stratification for Post-ERCP Pancreatitis (PEP): Influence of Procedures, Patient Characteristics and Indicators on Outcome, Pathophysiology, 2021 Feb; 28(1):76-85. https://doi.org/10.3390/pathophysiology28010007.
E. Disbrow, K.Y. Stokes, C. Ledbetter, J. Patterson, R.A. Kelley, S. Pardue, T. Reekes, L. Larmeu, V. Batra, S. Yuan, U. Cvek, M. Trutschl, P.C.S.R. Kilgore, J.S. Alexander, C.G. Kevil. Plasma Hydrogen Sulfide Bioavailability is a Biomarker of Cognitive Function in Alzheimer’s Disease and Related Dementias. Journal of Alzheimer's & Dementia, the Journal of the Alzheimer’s Association, March 2021. https://doi.org/10.1002/alz.12305.
P. C.S.R. Kilgore, M. Trutschl, U. Cvek, H. Nam. hSOM: Visualizing Self-Organizing Maps to Accommodate Categorical Data. Proceedings of 24th International Conference Information Visualisation, Sept. 2020.
J.W. Yun, U. Cvek, P.C.S.R. Kilgore, I. Tsunoda, S. Omura, F. Sato, R. Zivadinov, M. Ramanathan, A. Minagar, J.S. Alexander, Neurolymphatic Biomarkers of Brain Endothelial Inflammatory Activation: Implications for Multiple Sclerosis Diagnosis. Life Sciences Elsevier Journal. 229, doi.org/10.1016/j.lfs.2019.05.021 (July 2019).
P. Kilgore, M. Trutschl, U. Cvek, J.S. Alexander. Improving Comprehension of Large Taxonomic Graphs. Proc. of MediVis2019 - 16th International Conference on BioMedical Visualisation, Paris, France, July 2019, IEEE Computer Society Press.
K. Morgan, M. Boktor, C. Ford, L. Pham, J.D. Morris, P.A. Jordan, U. Cvek, M. Trutschl, J.S. Alexander. Venous Thromboembolism in IBD: Increased Risk for Women in CD? Pathophysiology; 2019 doi: 10.1016/j.pathophys.2019.03.001.
K. Kilgore, N. Korneeva, T. C. Arnold, M. Trutschl, U. Cvek. GatewayNet: A Form of Sequential Rule Mining. BMC Medical Informatics and Decision Making. 19(87), doi.org/10.1186/s12911-019-0810-3 (April 2019).
M. Trutschl, P.C. Kilgore, R.S. Scott, C.E. Birdwell, U. Cvek. Detection and Employment of Biological Sequence Motifs. In B. Wang, R. Li, & W. Perrizo (Eds.) Big Data Analytics in Bioinformatics and Healthcare (pp. 86-116). Hershey, PA: Medical Information Science Reference. doi:10.4018/978-1-4666-6611-5.ch005 (2015).
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