|department of chemical engineering @ the university of michigan|
|recent publications   -   books and book chapters|
Publications since 2010
For a complete list of publications in PubMed, click here.
Emergence and selection of isoniazid and rifampin resistance in tuberculosis granulomas
The CXCL12/CXCR7 signaling axis, isoforms, circadian rhythms, and tumor cellular composition dictate gradients in tissue
Comparing efficacies of moxifloxacin, levofloxacin and gatifloxacin in tuberculosis granulomas using a multi-scale systems pharmacology approach
Applying Optimization Algorithms to Tuberculosis Antibiotic Treatement Regimens
New insights into mammalian signaling pathways using microfluidic pulsatile inputs and mathematical modeling
Multi-scale model of Mycobacterium tuberculosis infection maps metabolite and gene perturbations to granuloma sterilization predictions
Computational Modeling Predicts Simultaneous Targeting of Fibroblasts and Epithelial Cells Is Necessary for Treatment of Pulmonary Fibrosis
Strategic Priming with Multiple Antigens can Yield Memory Cell Phenotypes Optimized for Infection with Mycobacterium tuberculosis: A Computational Study
Computational and Empirical Studies Predict Mycobacterium tuberculosis-Specific T Cells as a Biomarker for Infection Outcome
In silico evaluation and exploration of antibiotic tuberculosis treatment regimens
Cell, isoform, and environment factors shape gradients and modulate chemotaxis
Band-pass processing in a GPCR signaling pathway selects for NFAT transcription factor activation
In silico models of M. tuberculosis provide a route to new therapies.
Identifying Mechanisms of Homeostatic Signaling in Fibroblast Differentiation
Computational Modeling Predicts IL-10 Control of Lesion Sterilization by Balancing Early Host Immunity-Mediated Antimicrobial Responses with Caseation during Mycobacterium tuberculosis Infection
A computational tool integrating host immunity with antibiotic dynamics to study tuberculosis treatment
A comprehensive analysis of CXCL12 isoforms in breast cancer
Macrophage polarization drives granuloma outcome during Mycobacterium tuberculosis infection.
Harnessing the heterogeneity of T cell differentiation fate to fine-tune generation of effector and memory T cells
Strategies for efficient numerical implementation of hybrid multi-scale agent-based models to describe biological systems.
CXCR7 Controls Competition for Recruitment of B-Arrestin 2 in Cells Expressing Both CXCR4 and CXCR7
Microfluidic source-sink model reveals effects of biophysically distinct CXCL12 isoforms in breast cancer chemotaxis
Tuneable resolution as a systems biology approach for multi‐scale, multi‐compartment computational models
In silico models of M. tuberculosis infection provide a route to new therapies
A comprehensive analysis of CXCL12 Isoforms in Breast Cancer
Predicting lymph node output efficiency using systems biology
Microfluidic interrogation and mathematical modeling
of multi-regime calcium signaling dynamics
Multi-Scale Modeling Predicts a Balance of Tumor Necrosis Factor-alpha and Interleukin-10
NF-kB signaling dynamics play a key role in infection control in tuberculosis,
Differential risk of tuberculosis reactivation among anti-TNF therapies is due to drug binding kinetics and permeability.
Ruffles limit diffusion in the plasma membrane during macropinosome formation.
Systems biology approaches for understanding cellular mechanisms of immunity in lymph nodes during infection.
Hi-Fi transmission of periodic signals amid cell-to-cell variability.
Multiscale computational modeling reveals a critical role for TNFR1 dynamics in tuberculosis granuloma formation.
Integrin organization: Linking adhesion ligand nanopatterns with altered cell responses.
Phase-locked signals elucidate circuit architecture of an oscillatory pathway.
A multifaceted approach to modeling the immune response in tuberculosis.
Identification of key processes that control tumor necrosis factor availability in a tuberculosis granuloma.
Characterizing the dynamics of CD4+ T cell priming within a lymph node.