AI and Data Analyst, Biostatistician
PhD, MS, BS
Yuliya Karpievitch is an Artificial Intelligence and Data Scientist. Her research focuses on computational models in respiratory conditions such as cystic fibrosis, bronchiectasis and asthma. Yuliya uses long-read Nanopore sequencing to obtain a picture of the lung microbiome and patient’s response to the microbiome and uses artificial intelligence (AI) to decipher the complex microbiome-microbiome-host interactions.
Yuliya is leading an AI and Data Science team in drug screening and computed tomography (CT) scan analyses automation using AI. Her Data Science part of the team is leading Bayesian analyses of clinical trials and provides statistical support to the Australian Respiratory Early Surveillance Team for Cystic Fibrosis (AREST CF) and Airway Epithelial Research Team (EPIC) teams.
Lipopolysaccharide-induced interferon response networks at birth are predictive of severe viral lower respiratory infections in the first year of life
Appropriate innate immune function is essential to limit pathogenesis and severity of severe lower respiratory infections (sLRI) during infancy, a leading cause of hospitalization and risk factor for subsequent asthma in this age group.Published research Early Childhood Development Pregnancy and Early Life Immunology Human Immunology P4 Respiratory Health for Kids Respiratory viral infectionsMay 2022
AI-Driven Cell Tracking to Enable High-Throughput Drug Screening Targeting Airway Epithelial Repair for Children with Asthma
The airway epithelium of children with asthma is characterized by aberrant repair that may be therapeutically modifiable. The development of epithelial-targeting therapeutics that enhance airway repair could provide a novel treatment avenue for childhood asthma.Published research Airway Epithelial Research P4 Respiratory Health for Kids Subsite: Walyan
Education and Qualifications