Joint CMU-Pitt Ph.D. Program in Computational Biology Seminar

  • Remote Access - Zoom
  • Virtual Presentation - ET
  • Research Assistant Professor
  • Principal Investigator, Laboratory for Computational Immunology
  • Department of Pathology, University of Chicago

New computational approaches to understand immune function

Advances in computer science and the explosion of large scale, quantitative experiments have created a data-driven revolution in immunology. I will present a few short vignettes on harnessing computation to decode the genetic and molecular mechanisms underlying immune function. First, I will introduce a new algorithm to assemble B-cell receptor (BCR) sequences from single cell RNA-seq data. Second, I will introduce a new method for inferring transcriptional states of immune cells during dynamic processes from single cell RNA-seq data. I will present the role of this algorithm in a recently published study to model B cells undergoing class switch recombination. The talk will include the necessary background needed for understanding the immunology topics presented. I will conclude my talk by introducing a few open problems in computational immunology and their implications towards improving human health.

Faculty Host: Hatice Osmanbeyoglu (Pitt)

Hosted by the Joint CMU-Pitt Ph.D. Program in Computational Biology and the Department of Computational and Systems Biology

Zoom Participation. See announcement.

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