Bioinformatics | Chemoinformatics | Primer Design
I code in rust and play sudoku when I am not working.
My goal is not merely to be good at what I do, but to be GREAT at what I do. I am willing to learn, more and more.
Mini Projects Bioinformatics, Chemoinformatics, Biotechnology, Cloud engineering, and Blockchain-Bioinformatics integration:
Here’s a selection of my recent projects spanning transcriptomics, genomics, and computational modeling, all focused on Sickle Cell Disease (SCD) and bioinformatics applications.
| Project | Description | Stack |
|---|---|---|
| Non-HbF Genetic Expressions in Sickle Cell | RNA-Seq pipeline identifying non-HbF gene signatures modulated by Hydroxyurea in SCD; includes DESeq2 analysis, GO enrichment, and visualization. | R · Bioconductor · DESeq2 |
| ML Approach to Detect Severity in Sickle Cell Disease — 2025 Omics Codeathon | Deep learning model trained on multi-omics and clinical datasets to classify SCD severity; integrates data preprocessing, feature engineering, and interpretability. | Python · PyTorch · Biopython |
| HackBio Bioinformatics Tasks (R & Machine Learning) | Series of curated tasks covering transcriptomics, data wrangling, and supervised learning; demonstrates reproducible analysis and team collaboration. | R · DESeq2 · Bioconductor |
| Protein Sequence Alignment | Comparative protein sequence alignment using global/local algorithms; integrated with Galaxy workflows, MEGA phylogeny, and Weka feature extraction. | Galaxy · Weka · MEGA |
| Sickle Cell Mutation Embedding Analysis | Vectorized representations of SCD mutations using k-mer embedding and dimensionality reduction; explores genotype-phenotype clustering. | Python · Biopython |
| Computational ADME Profiling for Small Molecules | End-to-end cheminformatics pipeline for predicting ADME properties of candidate compounds; includes SMILES parsing, RDKit descriptor generation, ML-based ADMET prediction, and modular result aggregation. | Python · RDKit · scikit-learn |
| The Bio-Book of Jargons | Authored a book that contains a glossary of over 200 terms used across bioinformatics, biotechnology, and synthetic biology fields. | NCBI, PubMed Databases |
⭐ Each repository highlights practical applications of computational biology, from RNA-seq pipelines to ML-driven disease modeling, demonstrating a consistent focus on genomics, precision medicine, and reproducible research.
