Neglected Infectious Diseases

We apply a high-dimensional antibody-omics platform to identify compact, mechanistically interpretable immune endotypes that differentiate exposure, subclinical infection, and active disease for Leprosy. Qualitative Fc features—including galactosylation and FcγR2B engagement—emerge as stronger discriminators than antibody titers alone, enabling differentiation of early, late, and past Schistosomiasis infection states.

Tuberculosis & Meningitis

We evaluates antibodies transferred transplacentally and via breast milk to define antibody-mediated innate immune mechanisms associated with protection or susceptibility to infant Mtb infection. We apply high-dimensional antibody profiling in cerebrospinal fluid (CSF) and serum to identify distinct Fab and Fc immune signatures capable of distinguishing TBM from controls and monitoring disease over time.

Viral Infections & Maternal Health

We investigate IgG1- and Fc receptor–linked features distinguished postpartum viral controllers from non-controllers, highlighting Fc-tuned antibody quality as a potential biomarker of maternal immune control of HCV. Machine learning approaches identified compact antibody signatures that robustly discriminated HCV-infected individuals from healthy controls with high accuracy.

Transplantation & Immunology

We couple deep humoral profiling with an interpretable machine learning framework, we identified mechanistically informative immune signatures that distinguish DSA-positive patients who develop kidney transplant rejection from those who do not. We reveal a previously underappreciated role for IgM and antibody glycosylation—particularly sialylation and galactosylation—in both early and late rejection.

Vaccinology & Metabolic Health

Deep multi-omic profiling is integrated with interpretable machine learning approaches to identify latent molecular factors driving influenza vaccine response variability in older and obese adults. This work seeks to define predictive and mechanistic biomarkers of vaccine efficacy to enable tailored vaccine strategies that address immune impairments in vulnerable populations. Microfluidic high-sensitivity and high-throughput bio assays and machine based learning is used for deep characterization of immune responses