Research group
Research overview
Qi's research interest is the development and evolution of biological systems. She is interested in using computational tools to conduct and facilitate such studies. Currently, Qi provides bioinformatics support to PhD students and postdoctoral researchers in the lab of Professor Beverley Glover. She also provides support for users of the computing clusters in the department.
Teaching
She conducts training on data management, command-line shell, data analysis of RNA-seq and whole-genome DNA methylation data, as well as machine learning. She is a certified Carpentries Instructor.
Biography
Qi received her PhD at the University of California, Los Angeles, where she developed computational methods to study alternative splicing and the evolution of HIV. Later she joined the UCLA Division of Dermatology to help identify the resistance mechanisms of targeted cancer therapies using computational tools.
In 2011 she was awarded the Humboldt Research Fellowship to work in the Division of Theoretical Bioinformatics, and later the Division of Applied Bioinformatics, at the German Cancer Research Centre. There she worked on diverse bioinformatics projects with NGS data, such as studying genome-wide epigenetic regulation of cell differentiation, developing sequencing protocols and detecting somatic mutations from whole-genome sequencing data, as well as data integration and predictive modelling.