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'm currently a PhD student in phonetics, also previously trained in economics. The commonality of the two fields is that they both rely on the robust analysis of reliable empirical data to reveal patterns of the world. My current research explores speech data to shed light on the cross-linguistic prosodic system. I'm also interested in making speech data openly accessible to facilitate language preservation and phonetic research.

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.

I have a PhD in Computer Science specialised in Bioinformatics from Michigan State university. I had my postdoc training in Bioinformatics from University of California Davis before moving to University of Cambridge.