Meet the team

The Tanigawa Lab brings together researchers who study disease heterogeneity, statistical genetics, and computational genomics.

Current Members

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
Nabil Mohammed

Nabil Mohammed

PhD Student

Developing methods to uncover genetics of complex traits.

Statistical genetics Functional genomics Drug discovery
Ananya Rai

Ananya Rai

Graduate Student

Gene-by-sex interactions Disease heterogeneity Genome-Wide Association Studies
Jihye Lee

Jihye Lee

Graduate Student

Graduate student researching disease heterogeneity and genetic feature discovery using machine learning.

Deep Learning Genetic Associations Disease Heterogenetiy
Tanya Wang

Tanya Wang

Graduate Student

Graduate student interested in statistical genetics, Mendelian Randomization, and computational methods for understanding disease mechanisms.

Statistical Genetics Mendelian Randomization Biostatistics
Ashley Do

Ashley Do

Undergraduate Student

Undergraduate student interested in applying statistical methods to better understand and quantify pleiotropy.

Gene Latent Features Polygenic Risk Scores Personalized Medicine
Keira Hundhausen

Keira Hundhausen

Undergraduate Student

Undergraduate bioengineering student interested in using large scale genomic and phenotypic data to predict aging.

Genome Wide Association Studies Bioinformatics Protein Folding

Recruiting

We welcome students from relevant degree programs at UCLA, including but not limited to: Bioengineering, Bioinformatics, Computational Medicine, Human Genetics, and Biomathematics.

We also welcome motivated postdoctoral scholars.

Please see the Join Us page for current opportunities and application guidance.

Social events

We will share lab social highlights here as news posts. For now, we have prepared draft writeups for recent quarter-end gatherings.
Draft news page

Lab dinner, Spring 2026

We had a social gathering to celebrate the near completion of the Spring 2026 quarter and enjoy time together as a group.

Draft news page

Lab dinner, Winter 2026

We had a social gathering to celebrate the near completion of the Winter 2026 quarter and reflect on the quarter's progress together.

Draft news page

Lab dinner, Fall 2025

We had a social gathering to celebrate the near completion of the Fall 2025 quarter and spend time together outside regular lab meetings.

Alumni

Alfred Kibowen

Alfred Kibowen

PhD Rotation Student

Rotation project: investigated cross-ancestry genetic prediction.

Polygenic scores Cross-ancestry genetic prediction
JJ Schirle

JJ Schirle

PhD Rotation Student

Rotation project: methods for deriving biologically interpretable latent components from multitrait genetic association data.

Statistical genetics Multitrait genetic association data Interpretable latent component methods
Lucy Tian

Lucy Tian

Former Mentee

Former mentee who led the PRISM project on polygenic score prediction in underrepresented populations.

Population genetics Statistical genetics Polygenic score prediction
William Li

William Li

Former Undergraduate Mentee

Undergraduate mentee (UROP) at MIT who applied polygenic score prediction to investigate Alzheimer's disease heterogeneity. Now MD-PhD student at Harvard.

Polygenic score prediction Alzheimer's disease Disease heterogeneity