Location:

In-Person at Countway L1-032 (Please note, New Location for this week and the New Zoom Link)

Zoom, https://harvard.zoom.us/j/92093238424?pwd=eEdJSjA2WEczL1NvdnN0MysyM1JoQT09

Add to Calendar: https://drive.google.com/file/d/1E2iIsla_TzdTzS_3YLcj6gr-DHO-KP7v/view?usp=sharing

Speaker: Mariana Gabitto, PhD

Abstract: Since their inception, single-cell technologies have revolutionized biology, providing exciting opportunities to characterize cellular populations and track their changes with disease. These technologies enable the analysis of the transcriptional (scRNA-seq), chromatin accessibility (scATAC-seq), and surface-protein expression (CITE-seq) landscape of individual cells. How can we effectively discover structure in this complex high-dimensional multimodal data and integrate it into a common representation to better understand disease progression? I will introduce MultiVI, a deep generative model designed for the analysis of single-cell chromatin, transcriptional and protein expression information. MultiVI co-learns informative low-dimensional representations for individual and joint modalities, accurately capturing multimodal properties of individual cells. This approach offers a principled method to analyze samples in which single and multiple genomic data modalities are present. Finally, I will demonstrate how this tool was used within the Seattle Alzheimer’s Disease Cell Atlas (SEA-AD) Consortium to map cellular types in healthy and diseased stated and study their changes associated with Alzheimer’s Disease.

Bio: Mariano Gabitto is an Assistant Investigator at the Allen Institute for Brain Science. Mariano’s research focuses on applying statistical and machine learning methods to decipher the cellular and molecular programs giving rise to the cellular diversity observed in the brain and how cell types degenerate during neurological diseases. Before joining Allen, he was a research scientist at the Center for Computational Biology at the Flatiron Institute, Simons Foundation and at the Broad Institute of Harvard and MIT. Mariano was a visiting scientist at Mike Jordan’s Group at U.C. Berkeley, developing deep generative models to represent single-cell information. He completed his Ph.D. in Neuroscience at Columbia University in the laboratory of Charles Zuker where he established collaborations with the groups of Liam Paninski, Larry Abbott