I study how sterile inflammation shapes skeletal fusion and fracture repair across avian and mouse models using transcriptomics, imaging, and reproducible computational biology.
I'm a biochemist and systems biologist based at Montana State University. After earning my PhD in Biochemistry by building NMR-based metabolomics pipelines for wildlife conservation and translational studies, I joined Dr. Dana Rashid's lab to investigate how sterile inflammation guides bone growth, fusion, and repair across vertebrate systems.
Our group recently secured a W.M. Keck Foundation award to map inflammation-driven skeletogenesis across birds and mammals. My current work uses avian developmental fusion models and mouse fracture-repair models to define how inflammatory signaling, cell-death pathways, and tissue remodeling shape skeletal outcomes.
I integrate whole-tissue transcriptomics, high-resolution µCT, imaging, histology, and quantitative R/Python workflows to compare bone repair and fusion programs across species. I'm especially interested in how inflammatory biology can illuminate both normal developmental fusion and clinically relevant skeletal regeneration.
I thrive on cross-disciplinary collaboration, transparent code, and mentoring emerging scientists in quantitative methods.
Investigating how sterile inflammatory pathways, DAMP signaling, and regulated cell-death programs shape developmental bone fusion, with emphasis on sacral and pygostyle fusion in birds.
Using murine skeletal injury and fracture-repair models to test how inflammatory signaling and tissue remodeling influence healing trajectories, regeneration, and fusion-related phenotypes.
Connecting avian developmental fusion and mammalian bone-repair systems to identify conserved mechanisms of skeletal consolidation across vertebrates.
Applying NMR metabolomics and multivariate statistics to identify serum biomarkers in wildlife conservation, nutritional physiology, and translational disease models.
Building open-source R/Python workflows for transcriptomic analysis, omics integration, image-linked quantification, pathway visualization, and machine-learning classification of high-dimensional datasets.
Probing how inflammatory cascades such as cGAS-STING, necroptosis-associated signaling, and sterile immune responses interface with osteogenesis, remodeling, and tissue morphogenesis.
Using mouse models to examine how sterile inflammatory signaling and tissue remodeling influence bone healing outcomes and skeletal repair trajectories.
Linking avian developmental fusion models with mammalian repair systems to test whether conserved inflammatory programs govern skeletal consolidation across species.
Combining RNA-seq, µCT, histology, and microscopy with reproducible quantitative analysis pipelines that support cross-platform biological interpretation.
Developing transparent R and Python workflows for differential expression, visualization, exploratory modeling, and communication-ready figures for collaborators and manuscripts.
I'm always open to conversations about collaboration, skeletal biology, inflammation, omics integration, computational biochemistry, or mentoring in quantitative methods.
Rashid Lab · Dept. of Microbiology & Cell Biology
Montana State University · Bozeman, MT