معرفی
Urska Cvek is a Professor of Computer Science at Louisiana State University Shreveport (LSUS), holding the Lisa Burke Bioinformatics Endowed Professorship since 2004. She serves as Co-Director of the Laboratory for Advanced Biomedical Informatics (LABi) within the Department of Computer Science in the College of Arts & Sciences.
Her educational background includes:
- Bachelor’s in Economics from University of Ljubljana, Slovenia (1995)
- M.B.A. from University of Massachusetts Lowell (1997)
- Doctor of Science in Computer Science from University of Massachusetts Lowell (2004)
Dr. Cvek specializes in developing innovative data analytics and information visualization techniques for biomedical, clinical, and engineering applications. Her research focuses on identifying trends, patterns, and anomalies in large datasets through multidisciplinary approaches spanning over twenty years. She bridges computer science with real-world healthcare challenges through insightful data presentation methods.
Her recent publications (2019-2022) demonstrate consistent application of visualization techniques to critical health issues including COVID-19 prognosis, Alzheimer's biomarkers, multiple sclerosis diagnostics, and gastrointestinal disorders. The work shows strong interdisciplinary collaboration between computer science and medical researchers, with emphasis on self-organizing maps, taxonomic graph comprehension, and sequential rule mining for clinical decision support.
Dr. Cvek actively mentors students and faculty through the Laboratory for Advanced Biomedical Informatics (LABi), which she co-founded. Her grant-funded research projects generate publications involving undergraduate and graduate students, fostering hands-on research experience in biomedical informatics.
The Laboratory for Advanced Biomedical Informatics (LABi) serves as a multidisciplinary hub where computer scientists collaborate with medical researchers to transform complex health data into actionable insights through advanced visualization and analytics techniques.
