We are a computational research group in the Departments of Pathology and Laboratory Medicine and Computational Medicine in the David Geffen School of Medicine at UCLA. We are affiliated with the Bioinformatics PhD program.
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 genetic variation in disease through the diversity of changes observed in gene expression under different contexts, e.g. age, sex, tissues & cell types, environmental perturbations, and reprogramming stages.
We’re always looking for great people to join the lab! If you’re a UCLA PhD or undergraduate student, feel free to e-mail me about rotating in the lab.
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. Please e-mail me a copy of your CV if you are interested.