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), working with Dr. Manuel Rivas and Dr. Gill Bejerano.

Research interests

• Disease heterogeneity dissection through the development of statistical and computational methods.
  • Decomposition of Genetic Associations: Tanigawa*, Li*, et al., Nat Commun. (2019).
  • Ontology-guided stratified enrichment of transcription factor binding sites: Tanigawa*, Dyer*, Bejerano, PLoS Comput Biol (2022).
• Polygenic scores methodology and applications.
  • Multi-ancestry: Tanigawa and Kellis, Am J Hum Genet. (2023).
  • Multi-trait: Sinnott-Armstrong*, Tanigawa*, et al., Nat Genet. (2021).
• Therapeutic target discovery using human genetics.
  • ANGPTL7, intraocular pressure, and glaucoma: Tanigawa, et al., PLoS Genet. (2020).
  • Blood and urine biomarkers: Sinnott-Armstrong*, Tanigawa*, et al., Nat Genet. (2021).