Tianqi Wu is a Senior Data Scientist based in Nashville with 8 years of experience applying deep learning and geometric ML to computational biology and protein dynamics. Currently at Vanderbilt’s Center for Applied AI in Protein Dynamics, Tianqi bridges academic research and industry engineering, following a software engineering stint at Microsoft and a PhD-driven research trajectory. He has a strong foundation in computational biology, having developed novel geometric deep learning approaches to protein structure prediction during his graduate work. Comfortable moving models from research prototypes to production contexts, he combines hands-on engineering skills with domain expertise in bioinformatics. Notably, his early projects ranged from handwriting recognition fusion algorithms to genomic data visualization, reflecting a talent for adapting ML across diverse scientific problems.
8 years of coding experience
7 years of employment as a software developer
Master’s Degree Electrical and Electronics Engineering, Master’s Degree Electrical and Electronics Engineering at University of Florida
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