About
Bade Uckac is an MPhil student in the Computational Neurogenomics group at QIMR Berghofer. Her current research focuses on identifying the causal relationships between environmental and genetic factors underlying chronic pain and migraine, integrating large-scale genetic and epidemiological data using advanced statistical and computational methods to disentangle the complex interplay between lifestyle, environment, and heritable risk factors.
She holds a Bachelor’s degree in biological sciences from University of Westminster London and has previous experience in genetic epidemiology & statistical genomics through their work at the University of Cambridge. She contributed to national and international investigating genetic and metabolic disorders using datasets from UK Biobank and MRC Epidemiology Unit’s studies. Her general background includes hands-on laboratory research, molecular biology, and a growing skillset in bioinformatics and causal inference techniques.
Research Skills
· Genetic epidemiology
· Chronic pain and migraine
· Mendelian randomization
· Polygenic risk scoring
· Bioinformatics
· Gene-environment interactions
· Data Analysis
Area of Interest
· Neurogenomics of complex traits and personality disorders;
· Multisite chronic pain and antidepressive drug interactions;
· Migraine onset and chronification;
· Translational genomics and personalised medicine for nociplastic pain types.