Computational & Systems Immunology Seminars Series


Effective modeling, acquisition and mining of data have become crucial for solving important problems in
immunology. This seminar series explores novel molecular and computational approaches to
interrogating outstanding questions in immunology and related fields. Speakers are invited to share their
insights into the state-of-the-art trends and their advice on navigating a systems immunology career. 

The seminar is free and open to the public. It also functions as a class called IMMUNOL 310.

 

When: Tuesdays at 4:30 - 5:20 PM
Where: Li Ka Shing Learning & Knowledge Center (LKSC), Room 130

 


 

2017 SCHEDULE:

June 27th
Francesco Vallania, Stanford University

Leveraging heterogeneity in public data to reduce bias and increase accuracy of cell-mixture deconvolution


July 11th 
Pratip Chattopadhyay, NYU

Adventures in Cell Profiling: How to Avoid Making Chocolate Chicken Chicken Cake of Your Multiparameter Data


July 18th 
Richard Bourgon, Genentech

Reverse translation in action: characterizing the roles of genomic instability, tumor-immune topography and TGF-β signaling on response to PD-L1 blockade in metastatic urothelial bladder cancer


July 25th
James Heath, Caltech

Single Cell Technologies for Defining Personalized Immunotherapies


August 1st
Joachim Schultze, Universität Bonn

From bulk to single cell genomics in the mononuclear phagocyte system


August 8th
John Tsang, NIH

Systems human immunology – from immune responsiveness and single cell variations


August 15th
Serghei Mangul, UCLA

Profiling immunoglobulin repertoires by RNA Sequencing across 8555 samples from 53 GTEx tissues 

 

Website: http://immunol310.stanford.edu