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Graduate advisor:   Dr. Matthew Hudson, Crop Sciences


My research focus is on how we can use machine learning approaches to improve the quality of current bioinformatics techniques. Specifically, I have developed a software tool that employs machine learning for genome editing studies with CRISPR systems, and I am currently working on a potential implementation of deep learning to improve CRISPR/Cas guide RNA prediction through biochemical and biophysical features, at the atomic level. I have previously worked with the human gut microbiome and their role in dietary fiber degradation, and prior to that I have an 8-year work experience with Biomass degradation and fermentation-related research, both at the academic and industry levels.