Pre-Doctoral Research Training Award Fellow at The National Institutes of Health
Minneapolis, Minnesota, United States
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Yoshitaka Inoue is a Ph.D. candidate in Computer Science and Engineering at the University of Minnesota and a Pre-Doctoral Research Training Award Fellow at the National Institutes of Health, specializing in applying graph neural networks to biological networks for single-cell RNA imputation and drug response prediction. With 11 years of experience spanning academic research and industry, he blends deep computational skills—graph theory, GNNs, ML interpretability, and LLM interest—with domain knowledge in biology and metabolomics. He has applied machine learning in production settings (CTR modeling and recommendation systems) and contributed to open collaborative projects like Google Summer of Code pipelines for GNN-based drug response. His work is supported by NIH funding and guided by mentors at both the university and national research institutes, positioning him at the interface of in silico discovery and translational patient impact. Yoshitaka’s cross-cultural education from Japan to the U.S. and early experience in systems biology give him a distinctive ability to translate biological questions into rigorous computational solutions.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Information Science/Studies, 3.8, Master's degree, Information Science/Studies, 3.8 at Nara Institute of Science and Technology
Doctor of Philosophy - PhD, Computer Science, 4.0, Doctor of Philosophy - PhD, Computer Science, 4.0 at University of Minnesota
Visiting Scholar, Visiting Scholar at University of California, Davis
Bachelor of Science - BS, Biology/Biological Sciences, General, 3.0, Bachelor of Science - BS, Biology/Biological Sciences, General, 3.0 at Kumamoto University
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Yoshitaka Inoue - Pre-Doctoral Research Training Award Fellow at The National Institutes of Health