Data Champions Search

I am a researcher and educator in paleoanthropology and biology. Currently, I am developing machine learning and AI applications for human evolutionary studies with the University of Cambridge Leverhulme Center for Human Evolutionary Studies and the Alan Turing Institute.

I have over 30 years experience of Scientific Computing. I have worked on Image analysis of Light Microscopy images, Scientific IT Support (13 years), Data-driven web applications of mathematical models and Bioinformatics Training at the Institute of Food Research (Now the Quadram Institute). I have been involved in an EU Framework Database Workshop. I strive to include good data-handling and reproducibility practices into all training materials.

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. 
    
Currently, she provides bioinformatics training and support to PhD students and postdoctoral researchers in the lab of Professor Beverley Glover.

Before joining the Engineering Library in 2017, I worked in a variety of roles around Cambridge, including supporting researchers with effective communication of their work. I currently support resource and training provision in areas including research skills, open access, reference management etc.

Additional areas of expertise:

Information literacy, research communication, social media use for researchers.