Bioinformatics & Genomics
Sequence analysis, genomics, transcriptomics, feature extraction, reproducible pipelines, and biological data science.
Computational Science · Bioinformatics · Scientific AI
Research software for understanding complex biological and dynamical systems.
I develop reproducible computational methods and open-source software spanning bioinformatics, machine learning, nonlinear dynamical systems, high-performance computing, and scientific education.
About
From scientific questions to reproducible computational tools.
This portfolio brings together software, analysis pipelines, computational frameworks, and educational resources developed across bioinformatics and computational science. The emphasis is on transparent methodology, reusable code, and research workflows that can be inspected, reproduced, and extended.
Projects range from genomic and protein sequence analysis to transcriptomic state-transition modeling, chaos and instability prediction, scientific machine learning, and companion resources for bioinformatics textbooks.
PythonBioinformaticsMachine LearningHPCscRNA-seqDynamical Systems
Featured Research Software
Selected projects
Research code and scientific software with extended context beyond the repository description.
GitHub Portfolio
All public repositories
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Research Areas
Computational themes
Nonlinear Dynamical Systems
State-space reconstruction, instability detection, recurrence analysis, Lyapunov-based descriptors, and critical-transition modeling.
Machine Learning & Scientific AI
Deep learning, Transformers, representation learning, multitask modeling, and hybrid physics-informed computational methods.
High-Performance Computing
Scalable scientific workflows, Linux-based computing, GPU acceleration, research infrastructure, and reproducible environments.
Research Reproducibility
Versioned software, public datasets, workflow automation, configuration-driven experiments, and publication-ready computational artifacts.
Computational Education
Hands-on software and datasets accompanying bioinformatics texts, courses, tutorials, and practical scientific-computing instruction.
Research Identity
Profiles & publications
Connect with my research, publications, books, and professional work.