My lab has multiple PhD positions open. Research directions are in Data Science, machine learning, and biomedical big data. One research direction is to develop multi-view deep learning neural networks to integrate heterogeneous genomics data sets to predict aging and diseases. The second research direction is to develop MASK-RCNN models to detect and quantify cell objects, and develop graph-based algorithms to infer cell division events. The third research direction is to apply algebraic graph theory and develop deep-learning methods for single-cell genomics data analysis. Lab GitHub projects can be seen at github.com/hongqin
Please contact hong-qin@utc.edu or qinstat@gmail.com with your resume, transcripts, personal statement, and references.
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