Development of Statistical, Machine Learning, and Genetic Models

Moderator(s)

• KR

  Keith Reeves

  Duke Univ.

Presentations:

• 8:00 AM - 8:13 AM US ET

  Spatial stochasticity in lymph node microdomains optimizes host protection and enforces self-tolerance
  

  Author: Tomer Milo, PhD (he/him/his) – Ragon Institute
• 8:13 AM - 8:26 AM US ET

  The 1000+ mouse project: large-scale spatiotemporal parametrization and modeling of preclinical cancer immunotherapies
  

  Author: Sooraj Achar, PhD – University of Oxford Medical Sciences Division
• 8:26 AM - 8:39 AM US ET

  From CRISPR Perturbation Screens Towards Consilient Model-Informed Principles for CAR T-Cell Design
  

  Author: Stefan Cordes, MD, PhD (he/him/his) – National Heart, Lung, and Blood Institute, National Institutes of Health
• 8:39 AM - 8:52 AM US ET

  A multilevel logic for antigen interpretation governs tissue-specific T cell responses
  

  Author: Nicole Pagane – MIT
• 8:52 AM - 9:05 AM US ET

  Uncovering cellular programs and regulatory circuits governing cell fate bifurcations using interpretable machine learning
  

  Author: Zarifeh Heidari Rarani, PhD – University of Pittsburgh
• 9:05 AM - 9:18 AM US ET

  Evaluating AlphaFold 3 immune complex structure prediction and cryo-EM analysis of broadly neutralizing antibodies towards influenza hemagglutinin
  

  Author: Morgan M. Gee, BS, MS (he/him/his) – Scripps Research Skaggs Graduate School of Chemical and Biological Sciences
• 9:18 AM - 9:31 AM US ET

  Multivariate Host-Pathogen Interactions Driving Heterogeneous Response to Influenza
  

  Author: Amber M. Smith, PhD – University of Tennessee Health Science Center