Katarina Pejcinovic (she/her)

Biography

Katarina is a PhD student in the Division of Medical Informatics and Clinical Epidemiology. She is also a recipient of the National Library of Medicine T15 Trainee Fellowship. 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 causal inference and uncertainty quantification methods, with applications in evaluating AI trustworthiness and generalizability for healthcare applications. She also enjoys mentoring undergraduate and high school students to foster a passion for STEM from an early age.

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

Memberships and associations:

  • American Medical Informatics Association (AMIA)

Areas of interest

  • Medical AI
  • Causal Inference
  • AI Fairness
  • AI Evaluation
  • Uncertainty Quantification

Honors and awards

  • NLM T15 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.