Open Postdoctoral position, faculty mentor Xiaojie Qiu

The Qiu Lab, within the Departments of Genetics and Computer Science (Courtesy) and the Basic Science and Engineering (BASE) Initiative of Stanford University, is in search of exceptional technology developers, developmental biologists, or machine learning experts to create predictive virtual 3D mammalian embryos for human health, especially congenital heart diseases. We welcome applicants with expertise in genomics, developmental biology, generative AI, or closely related fields to work on this visionary project. The chosen candidate will join a multidisciplinary team of biologists, engineers, machine learning experts, mathematicians, and physicists. We offer an enriching training environment where post-docs, students, and other members can grow into leaders in both academia and industry.

The Qiu Lab of Predictive Biology at Stanford is a brand-new lab that previously made important contributions to the development of novel predictive computational tools in single cell and spatial transcriptomics. Representative publications include the recently published work of Spateo for spatiotemporal modeling of whole mouse embryos with 3D single cell spatial genomics: Qiu et al., Cell (https://doi.org/10.1016/j.cell.2024.10.011), and previous work on Dynamo for RNA velocity vector field learning and prediction using metabolic labeling enabled scRNA-seq: Qiu, Zhang, et al., Cell, 2022 (https://doi.org/10.1016/j.cell.2021.12.045); Monocle 2 and 3 for unsupervised pseudotemporal trajectories inference: Qiu et al., Nature Methods, 2017a/b (https://doi.org/10.1038/nmeth.4150, https://doi.org/10.1038/nmeth.4402).

Dr. Qiu’s work has supported by the NIH Director’s New Innovator Award, California Institute for Regenerative Medicine, Pathway to Independence Awards (K99/R00), among others.