My research - Computational solutions to biomedical problems

I believe that the future of biomedical discovery lies in the application of novel computational techniques to unravel complex biological data. These are some of the projects I've worked on.

Studies

Illumina

Software Engineering

Diagnosing rare pediatric diseases in record time

Rapid identification of disease-causing variants in DNA enables prompt diagnosis and treatment of rare disease in children.

At Illumina, I helped develop the TruSight Software Suite, a platform for rapid identification, triaging, visualization, and interpretation of disease-causing genetic variants.

UC San Diego

Bioinformatics

Visualizing chromatin structure throughout meiotic prophase

Elucidating patterns of chromatin organization is fundamental to understanding mechanisms of gene regulation and behavior.

We utilized high-throughput chromatin conformation capture to investigate the three-dimensional organization of chromosomes during meiotic prophase.

Stanford University

Bioinformatics

Identifying cancer drivers using methylation patterns

Dysregulation of DNA methylation can adversely impact tumor suppressor genes and developmental regulators, driving progression of cancer.

We developed efficient and scalable tools to identify aberrant methylation patterns in cancer in order to derive actionable clinical insights.

Get in touch

Locate me

  • UCSD
    9500 Gilman Drive
    La Jolla, California