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Yosuke Tanigawa is a Postdoctoral Associate at MIT Computational Biology Lab (PI: Dr. Manolis Kellis).

Yosuke works at the intersection of statistical genetics and computational biology. Specifically, he develops computational and statistical methods to dissect disease heterogeneity and apply them in systematic analyses of large-scale phenotypic, genetic, epigenomic, functional genomic, and single-cell genomic datasets.

Before joining MIT, he completed his doctoral training at Stanford University (Ph.D. in Biomedical Informatics), where he worked with Dr. Manuel Rivas and Dr. Gill Bejerano.

Please check CV, Publications, and/or Google Scholar profile for list of publications and pre-prints. Please also check Resources page for datasets, analysis and visualization scripts, and web applications from our research activities.

Research interests

• Application of statistical genetics for human disease genetic studies. I am specifically interested in the analysis of population biobanks.
• Statistical and computational method development for large-scale datasets in the context of human genomic studies.
• Functional analysis of non-coding regions in the human genome. I am specifically interested in the analysis of transcription factors.

Blog posts

I write blog posts mostly on computing tips, including:

Contact

Email is the best contact to reach out to me. If you do not get a reply within two days, please do not hesitate to follow-up. Thank you very much for your interest in our work.

• Email: yosuke <dot> tanigawa [at] alumni <dot> stanford <dot> edu
• Social media accounts can be found on the left (for PC) or “Follow” button on the top (for smartphone).