My research focuses on computational immunology, systems biology, and host-pathogen modeling by integrating multi-omics data—including single-cell RNA-seq, bulk transcriptomics, spatial transcriptomics, metabolomics, proteomics, and genome sequencing—to explore how immune cells respond to infection, inflammation, several metabolic stress conditions including cancer metabolism. I’m especially interested in uncovering systems-level mechanisms that can inform therapeutic discovery and drive immune modulation.
My interdisciplinary research bridges immunometabolism, host-pathogen interactions, and machine learning–driven predictions across diverse biological systems. I design and implement scalable computational pipelines to analyze complex datasets and simulate biological processes. In close collaboration with experimental researchers, I am to validate computational predictions to ensure they remain grounded in biological relevance. My work involves modeling strategies such as thermodynamic analysis, constraint-based flux modeling, machine learning, and optimization-based simulations to explore how perturbations in gene regulation and metabolism impact immune function. These approaches have supported hypothesis generation and experimental design in studies ranging from viral infections to polarization of immune cells, cancer metabolism dynamics, and fungal metabolism.
Alongside my computational work, I have hands-on experience in wet lab techniques including cell culture, PCR, CRISPRi perturbations, and microscopy. This dual training allows me to approach problems from both computational and experimental perspectives, enhancing the translational impact of my research.
Some of my current projects include modeling zinc-driven immune responses in pneumonia, understanding metabolism of prostate cancer, identifying metabolic pathways linked to fungal melanin production, and investigating the overall impact of metabolism shifts in the immune responses. My work has been published in Scientific Reports and presented at national and university conferences including BMES, AiChE, and COBRA. I’ve also received the Milton Mohr Fellowship, travel awards, and recognition in research communication competitions.
I’m passionate about turning complex biological data into actionable insights for therapeutic development. My long-term goal is to contribute to data-driven strategies for precision immunotherapies and infectious disease interventions at the intersection of computational biology and translational science.