Assistant Professor, Bioengineering at UCLA Henry Samueli School of Engineering and Applied Science
Los Angeles, California, United States
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Summary
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Senior
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Yosuke Tanigawa is an Assistant Professor of Bioengineering at UCLA who builds statistical and computational methods to dissect disease heterogeneity across large-scale phenotypic, genetic, epigenomic, functional genomic, and single-cell datasets. With 11 years of research experience spanning Stanford, MIT CSAIL, and MIT postdoctoral training, he develops joint multi-phenotype inference techniques that reveal shared genetic architecture of complex traits. His work bridges rigorous method development and systematic application to diverse genomic data, enabling more nuanced interpretation of disease subtypes. Trained in bioinformatics and systems biology at the University of Tokyo and biomedical informatics at Stanford, he combines deep computational skills with hands-on exposure to cutting-edge experimental genomics. An engaging detail: he has a track record of both academic algorithm development and practical lab-focused summer training (e.g., Hi-C and ChIP-seq), which helps him translate statistical models to biologically meaningful discoveries.
11 years of coding experience
4 years of employment as a software developer
Postdoc Computational Biology, Postdoc Computational Biology at Massachusetts Institute of Technology
University of Tokyo
High School, High School at Junior and Senior High School at Komaba, University of Tsukuba
Doctor of Philosophy (Ph.D.) Biomedical Informatics, Doctor of Philosophy (Ph.D.) Biomedical Informatics at Stanford University School of Medicine
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