Research Interests
Daniel Coombs Research Interests
Immune cell signaling and its consequences
Immune cell signaling.
Cell-surface receptor motility and cell-surface dynamics.
T and B cell immune synapse.
Immunoadhesin/antibody-mediated cell adhesion.
Spatial localization of B cell signaling proteins.
Multiscale infectious disease models
Understanding the selective pressures on infectious diseases arising
from competition at the within-host and between-host levels.
Applications to evolution of chronic viral disease.
Metapopulation (patch/network) epidemic modeling.
Applications to human disease
HIV virus dynamics in vivo and across populations
Amyloid polymerization and clearance (related to diabetes and
Alzheimer's disease).
Modeling the opioid overdose epidemic and using mathematical modeling to study the efficacy of governmental responses.
Improving biophysical parameter measurement
Understanding and improving binding kinetic measurement with
BIAcore (surface plasmon resonance).
FRAP (fluorescence recovery after photobleaching) analysis for the
mobility of cell-surface proteins.
Fitting single-particle-tracking (SPT) data for cell-surface
proteins to more complex models.
Modeling and interpretation of super-resolution microscopy.
Daniel Coombs
/ Department of Mathematics /
University of British Columbia
Last modified: (2019-09-03 12:20:18 PDT)