Yosuke Tanigawa, Ph.D.

Yosuke Tanigawa, Ph.D.

Assistant Professor

Mapping the biological basis of heterogeneity in disease.

Disease heterogeneity dissection Biomedical data science Statistical genetics Computational genomics Polygenic prediction Therapeutic target discovery

Yosuke Tanigawa is an Assistant Professor in the Department of Bioengineering at UCLA. He leads the Tanigawa Lab, which studies why individuals with the same diagnosis differ in disease onset, progression, and treatment response.

The lab develops statistical and computational methods for large-scale genetic, genomic, and phenotypic data. The work spans disease heterogeneity dissection, ancestry-aware polygenic prediction, and therapeutic target discovery from human genetics.

Before joining UCLA in July 2025, Yosuke trained at the MIT Computational Biology Lab with Manolis Kellis. He received his PhD in Biomedical Informatics at Stanford University, where he worked with Manuel Rivas and Gill Bejerano.

The lab values scientific rigor, open science, and clear communication. We aim to make complex human genetics accessible without losing scientific precision.

Posts and Publications

UCLA Tanigawa Lab is recruiting (2026) featured image

UCLA Tanigawa Lab is recruiting (2026)

The Tanigawa Lab at UCLA is recruiting students and postdoctoral researchers in statistical genetics, computational genomics, and precision medicine.

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Yosuke Tanigawa, Ph.D.

Mentoring philosophy in the Tanigawa Lab

How I think about mentorship, scientific training, expectations, and professional growth across career stages.

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Yosuke Tanigawa, Ph.D.
PRISM: ancestry-aware integration of tissue-specific genomic annotations enhances the transferability of polygenic scores featured image

PRISM: ancestry-aware integration of tissue-specific genomic annotations enhances the transferability of polygenic scores

In this study, led by Xiaohe (Lucy) Tian, we showed that ancestry-aware integration of tissue-specific genomic annotations enhances the transferability of polygenic scores (PGS).

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Lucy Tian

Yosuke received Early Career Award from Japan Science and Technology Agency

Yosuke received a JST PRESTO award to support research on mathematical modeling of interindividual differences in disease.

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Yosuke Tanigawa, Ph.D.
UCLA Tanigawa Lab is recruiting featured image

UCLA Tanigawa Lab is recruiting

The Tanigawa Lab at UCLA is recruiting students and postdoctoral researchers in statistical genetics, computational genomics, and precision medicine.

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Yosuke Tanigawa, Ph.D.

Joining UCLA as Assistant Professor in Bioengineering

Yosuke Tanigawa joined UCLA Bioengineering in July 2025 to launch a research program on disease heterogeneity.

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Yosuke Tanigawa, Ph.D.
Hypometric genetics: Improved power in genetic discovery by incorporating quality control flags featured image

Hypometric genetics: Improved power in genetic discovery by incorporating quality control flags

We introduce "hypometric genetics," an approach to investigate the genetic basis of binarized traits representing the presence of below-the-limit-of-quantification (BLQ) quality …

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Yosuke Tanigawa, Ph.D.
A polygenic score method boosted by non-additive models featured image

A polygenic score method boosted by non-additive models

We developed GenoBoost, a polygenic score modeling approach, incorporating both additive and non-additive genetic dominance effects.

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Yosuke Tanigawa, Ph.D.
Power of inclusion: Enhancing polygenic prediction with admixed individuals featured image

Power of inclusion: Enhancing polygenic prediction with admixed individuals

We developed a polygenic score training approach that allows direct inclusion of admixed individuals without the need for local ancestry inference and showed ancestry-diverse …

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Yosuke Tanigawa, Ph.D.
WhichTF is dominant in your open chromatin data? featured image

WhichTF is dominant in your open chromatin data?

We develop an ontology-guided approach to ranking tissue-/cell-type-specific transcription factors (TFs) from chromatin accessibility data.

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Yosuke Tanigawa, Ph.D.