Systems and Therapeutic Modeling
Cancer systems biology, multiscale simulation, and precision strategy design.
Biomedical Informatics & Engineering Research Laboratory (BIRL)
BIRL integrates biological and clinical data to model complex disease and support translational decision systems. Our portfolio spans cancer systems biology, plant systems biology, proteomics, public health epidemiology, and neuroscience, with active work on multiscale modeling software, antiviral discovery, and e-health monitoring.
The core of our research program comprises computational disease modeling, omics analytics, public-health intelligence, and translational biomedical software development.
Each stage in our workflow connects computational development to biological interpretation and real-world use in medicine and public health.
Clinical and biological questions are translated into formal, testable system hypotheses.
Mechanistic and data-driven models are developed for multiscale disease interpretation.
Reproducible software pipelines are implemented for omics analysis and simulation workflows.
Outputs are mapped to precision therapeutics, public-health analytics, and decision support.
The integrated pipeline converts computation into evidence, and evidence into deployable biomedical value for oncology, proteomics, antivirals, and healthcare systems.
Cancer systems biology, multiscale simulation, and precision strategy design.
Proteomics engines, metabolomics profiling, and high-performance sequence interpretation.
Public-health epidemiology, risk modeling, and intelligent healthcare decision support.
Plant systems biology and neuroscience methods connected to translational software pipelines.
A curated innovation mural linking flagship tools with measurable translational impact.
These platforms represent the continuum from computational method design to deployable biomedical and population-health intelligence.
Thesis supervision records of PhD, MS, and BS Students.
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