Balliu Lab @ UCLA

We are a newly minted (est. July 2022) computational research group in the Departments of Pathology and Laboratory Medicine and Computational Medicine in the David Geffen School of Medicine at UCLA. We develop novel statistical methods and computational tools for analyzing high-dimensional repeated measures and intensive longitudinal data such as those arising from high-throughput genomic assays, mobile phone and wearable sensors, and electronic health records. We apply these methods to understand the genetic basis of complex traits and diseases.

For example, we are interested in understanding the role of inherited genetic variation in disease through the diversity of changes observed in gene expression under different contexts, e.g. age, tissues & cell types, environmental perturbations, and reprogramming stages.

Join us!

We’re always looking for great people to join the lab.

Graduate students

We take UCLA students from Bioinformatics, Biomathematics, Biostatistics, Genetics and Genomics, Neuroscience and related programs. We mentor both students with strong quantitative backgrounds interested in methods development as well as students with mixed backgrounds (e.g. neuroscience or quantitative biology) interested in analyzing large data sets with specific biological questions in mind. If you think you might be a good fit, please send me an e-mail with your research interests and your CV.

Postdoctoral researchers

We have an opening for a postdoctoral positions for quantitatively skilled PhDs to study the impact of genomic variation on the gene regulatory networks of reprogramming to pluripotency as part of the IGVF consortium. The position is shared with the Zaitlen lab at UCLA. If interested, please send me an e-mail with a short statement on your research interests, your CV, and contact information for three references.

Undergraduate students

Unfortunately we are not accepting undergrads this quarter. However, if you think you might be a good fit in the future, send me an e-mail with your research interests and your CV.