Our lab develops and applies computational, bioinformatic and experimental approaches to generate and analyze large-scale genomic and transcriptomic data sets, combined with in-depth molecular and mechanistic studies.  

• Our work aims to achieve a better understanding of RNA splicing, RNA modification and post-transcriptional regulation in health and disease. 
• We make extensive use of second and third generation sequencing technologies that have transformed modern biology to an information-rich science. 
• We develop bioinformatic methods and experimental innovations that build upon RNA-seq, CLIP-seq, massively parallel reporter assays, single cell -omics and other high-throughput technologies.
• We are particularly interested in applying bioinformatic and experimental methods to study neuropsychiatric disorders and cancer.
• Our lab has two components: a computational (dry) lab and an experimental (wet) lab.

On the left: our lab logo, created by Dr. Jae Hoon Bahn. It shows the fascinating aspects of RNA that we work on.

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               A combination of computational and experimental research

On the computational side (dry lab):

• ​Computational methodology development
• Bioinformatic large-scale data analyses​
• Statistical modeling and predictions

​On the experimental side (wet lab):

• High-throughput genomic technology development
• Large-scale data generation
• Molecular and cell biology experiments ​

We are recruiting!

We are actively in search of motivated talents (postdocs, graduate students, and undergraduate students) to join our adventure!

Learn more

Our research is generously supported by:

We also deeply appreciate previous funding support by the Alfred P. Sloan Foundation, the March of Dimes Foundation, the American Heart Association, the National Institute on Drug Abuse,  the National Science Foundation, the National Heart, Lung and Blood Institute, the UC Cancer Research Coordinating Committee and the UCLA SPORE in Prostate Cancer.