Katarina Pejcinovic (she/her)

Biography

Katarina is a PhD student in the Department of Medical Informatics and Clinical Epidemiology on the Health and Clinical Informatics track. She is also a National Library of Medicine Fellowship awardee. Before coming to OHSU, Katarina received her B.S. and M.S. in Bioengineering from UCLA, where her research focused on creating AI models to predict Lyme disease and other disorders such as epilepsy. Her current research interests include quantitatively and rigorously evaluating AI fairness and trustworthiness. Her research thus far has included work on fairness metrics that quantify algorithmic bias and conformal prediction to evaluate the accuracy of model predictions at the patient level. She also enjoys mentoring undergraduate and high school students to promote STEM passion from an early age. In her free time, she is an avid martial artist, birder, and illustrator.

Education and training

  • Degrees

    • B.S., 2023, University of California, Los Angeles
    • M.S., 2024, University of California, Los Angeles
  • Internship

    • Visiting Researcher: Ruder Boskovic Institute, 2023
    • Tech Transfer Intern: Office of Technology Transfer DOE, 2022
    • PATHS-UP HHMI REU Student: Texas A&M, 2021

Areas of interest

  • Medical AI
  • Trustworthy AI
  • AI fairness

Honors and awards

  • NLM Informatics Fellow, 2024
  • UCLA University Fellowship, 2024

Publications

Selected publications

  • Ghosh R, Joung H-A, Goncharov A, Palanisamy B, Ngo K, Pejcinovic K, et al. Rapid single-tier serodiagnosis of Lyme disease. Nat Commun 2024;15:7124. https://doi.org/10.1038/s41467-024-51067-5.
  • Joung H-A, Ghosh R, Goncharov A, Palanisamy B, Ngo K, Pejcinovic K, et al. Deep-learning enabled point-of-care sensor for Lyme disease diagnosis. Emerging Topics in Artificial Intelligence (ETAI) 2023, vol. PC12655, SPIE; 2023, p. PC1265505. https://doi.org/10.1117/12.2678215.