Dr Lily Andrews, Health Data Scientist at BioXcelerate AI, holds a PhD in Genetic Epidemiology from the University of Bristol, where her research focused on identifying biomarkers for the early detection and treatment of brain tumours using causal inference methods, such as Mendelian randomization. She also holds a Master’s degree in Functional and Comparative Genomics from the University of Liverpool.
During this time, she developed a bioinformatics pipeline for the comparison of next-generation sequencing data and legacy reference genomes. Lily’s expertise lies in navigating complex bioinformatic datasets to uncover clinically relevant targets that drive advancements in precision medicine.
In her role at bioXcelerate, Lily applies her skills in bioinformatics, data analysis, and genetic epidemiology to support data-driven drug discovery. Her technical proficiency includes programming languages such as R and Python, as well as experience in using high-performance computing systems, all of which enable her to tackle large-scale biomedical datasets effectively.
Before joining bioXcelerate, Lily gained experience as a Tutor and Demonstrator at the University of Bristol, where she supported practical workshops for both postgraduate students and academic researchers. Additionally, she broadened her skillset as an Academic Administrator, facilitating the Bristol University COVID-19 Emergency Research (UNCOVER) Group.
Lily’s diverse background in genetic research and data science equips her with a unique perspective on solving complex challenges in healthcare, contributing to the development of innovative solutions that improve patient outcomes.