POSTPONED - Oliver Stegle

Please note that Oliver's colloquium has been POSTPONED until 2025. Check back here for updates!

Watch virtually via YouTube Livestream: broad.io/ewsc

Abstract: The construction of single-cell atlases in health and disease is well advanced across biological domains. An open frontier are approaches that allow for distilling insights about regulatory dependencies from these resources - a critical step to derive mechanistic hypothesis in basic biology and human disease. In this talk, I will discuss different computational approaches towards this goal. I will explore opportunities to enhance the inference of cell latent states using prior knowledge, and I will discuss how single-cell multi omics and spatial modalities can be exploited to estimate gene regulatory networks (GRNs) at single-cell resolution. In the second part of my talk, I will explore avenues to combine observational data with engineered interventions and perturbations. I will discuss applications to different biological systems, including a multi-ome single-cell and spatial atlas of Glioblastoma (GBM), and a genome-scale perturbation atlas in human pluripotent cells.

About Oliver: Oliver's research interest lies in computational approaches for unravelling molecular and phenotypic variation. How do genetic background and environment jointly shape phenotypic traits or cause diseases? How are genetic and external factors integrated at different molecular levels, and how variable are these molecular readouts between individual cells?

His group uses statistical inference and machine learning as our main tools to address these questions. The methods we develop allow us to exploit large and high-dimensional omics data to identify disease signatures and pinpoint causal drivers.