AI & ML interests
An open-science research initiative applying machine learning to complex biological systems. We bridge the gap between molecular mechanisms and ecosystem-level interactions. Our work spans multi-omics predictive modeling, comparative fungal genomics (endophytes vs. pathogens), host-microbiome dynamics, and protein function prediction. By leveraging deep learning, NLP-based sequence analysis, and rigorous statistical pipelines, we aim to build scalable AI tools for modern systems biology.
SyBioML 's models
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