Architecting solutions for complex biological data.
Bridging the gap between computer science and genomic science with rigor, precision, and mature problem-solving.
Executive Summary
Passionate and results-driven Bioinformatician with expertise in computer science, specializing in genomics and data science.
Proficient in Python, R, Bash Scripting, and machine learning, I excel at transforming complex biological datasets into actionable insights. Committed to advancing bioinformatics, I leverage cutting-edge technologies to drive scientific discovery and innovation in genomic research.
Professional Journey
Bioinformatics Coordinator
- Directing bioinformatics analysis schedules for high-throughput clinical and research workflows, ensuring timely delivery and operational excellence.
- Architecting personalized bioinformatics solutions by translating complex client research goals into actionable computational strategies.
- Bridging the gap between technical execution and client outcomes through integrated project oversight and hands-on deep-dive analysis.
- Completed over 65 diverse bioinformatics projects spanning genome assembly, AMR detection, and multi-omic metagenomics.
Bioinformatician
- Spearheaded the analysis of WGS, SARS-CoV-2, and NIPT data, driving critical clinical product outcomes through precise genomic interpretation.
- Streamlined operational efficiency by developing automated Python-based workflows for recurring bioinformatics processes.
- Integrated Machine Learning and Deep Learning frameworks to solve predictive challenges in internal operations and client services.
- Facilitated technical growth by training over 75 professionals through 20+ specialized bioinformatics workshops.
Public Research & Open Source
Full 16S rRNA Metagenomics (ONT)
Context
Metagenomic profiling using long-read Oxford Nanopore sequencing data.
Challenge
Accurately estimating abundance and diversity from high-error-rate long reads while maintaining visualization clarity.
Approach
Developed a comprehensive pipeline for alpha/beta diversity and taxonomic profiling with advanced metagenomic visualizations.
Key Takeaway
"Successfully characterized complex microbial communities with high resolution using Nanopore technology."
Soil Microbiome QIIME2 Analysis
Context
Comparing soil microbiomes under conventional vs. natural farming practices.
Challenge
Identifying significant microbial shifts between chemical-free and conventional agricultural environments.
Approach
Utilized QIIME2 for robust metagenomic comparisons and differential abundance testing.
Key Takeaway
"Revealed critical differences in soil microbial health influenced by farming methodology."
IMPUTE2 Wrapper & SNP Analytics
Context
Python-based automation for human genome imputation workflows.
Challenge
Wrapping complex IMPUTE2 outputs to facilitate efficient SNP calculation and downstream analysis.
Approach
Developed a Python tool to parse and aggregate imputation results into standard analysis formats.
Key Takeaway
"Drastically reduced the time required to post-process large-scale imputation datasets."
Domain-Specific Expertise (65+ Projects)
Microbial & Metagenomic Profiling
Context
Scaling metagenomic analysis for AMR detection and complex ecosystems (16S, 18S, ITS, COI).
Challenge
Managing high-throughput shotgun sequencing data for pathogenic bacteria profiling across diverse environmental samples.
Approach
Standardized a robust metagenomics suite including SARS-CoV-2 variant identification and bacterial pan-genome analysis.
Key Takeaway
"Delivered actionable insights for both research initiatives and high-stakes clinical applications."
Agricultural & Plant Genomics
Context
Analyzing complex plant genomes to support agricultural biotechnology.
Challenge
Handling large-scale plant genomic datasets with significant repetitive elements and structural variation.
Approach
Applied advanced assembly algorithms and comparative genomic frameworks to identify key traits.
Key Takeaway
"Successfully integrated bacterial pan-genome insights with plant host data for systemic understanding."
Human Methylation & Epigenomics
Context
Precision medicine applications focusing on clinical biomarkers.
Challenge
Decoding high-dimensional methylation array data into significant biological patterns.
Approach
Developed custom normalization and analysis pipelines to ensure statistical rigor in biomarker discovery.
Key Takeaway
"Provided foundational data for diagnostic product development in the clinical genomic space."
65+ end-to-end bioinformatics projects completed across genomics, clinical research, and IT automation.
Strategic Professional ImpactTeaching & Facilitation
Technical Training Facilitator
I act as a bridge between technology and research by conducting technical workshops and training sessions. My focus is on empowering scientists with the computational tools they need to unlock biological insights.
- Intro to Unix for Genomics & Post-NGS workflows
- Workflow Orchestration & Reproducibility (Nextflow/Python)
- Machine Learning application in Clinical Genomics
Recent Reading & Notes
Reproducible Bioinformatics
Nature Reviews · Paper
Nextflow in Production
Seqera Docs · Newsletter
Algorithms in Bioinformatics
Dan Gusfield · Book
Scientific Contributions
Optimisation of peptides targeting reverse transcriptase HIV-1 using QSAR, machine learning, and computational approaches
Frontiers in Pharmacology · 2025Reflective note:Synthesized structural biology with ML to navigate high-dimensional peptide space, effectively narrowing the candidate pool for future therapeutic validation.
Revealing Pogostemon cablin (Blanco) Benth. and Murraya koenigii (L.) Spreng. action targets on AKT1 as papillary thyroid cancer therapy based on bioinformatics approach
Journal of Pharmacy & Pharmacognosy Research · 2025Reflective note:Bridged the gap between traditional pharmacognosy and systems biology, identifying AKT1 as a key molecular vulnerability for targeted herbal therapeutics.
Targeting phosphoglycerate dehydrogenase enzyme using ginger compounds to suppress thyroid cancer progression
Narra X · 2024Reflective note:Developed a robust virtual screening framework to evaluate ginger-derived lead compounds, providing a computational foundation for suppressive metabolic cancer therapy.
Learning Impact & Certifications
Intensive Summer Schools
HPC Foundation in Computational Biomolecular Research
Deep dive into HPC infrastructure, molecular docking/dynamics, and complex systems via data, network, and AI frameworks.
Genomics & 'Omics in Infectious Diseases
Advanced training in variant detection, eQTLs, GWAS, and phylo-dynamics mentored by London School of Hygiene & Tropical Medicine experts.
Technical Certification
Cloud & Machine Learning
— Mastered SageMaker, Computer Vision, and NLP on cloud-native infrastructure.
— Designing scalable, secure cloud architectures for bioinformatics workloads.
Deep Learning & IT
— Implemented GAN architectures and image classification with Python-first focus. Deep dive into Python.
— Applied neural networks to classify phenotypic patterns from genomic markers.
Continuous Learning Path
Collaboration & Contact
Let's discuss systems and science.
I'm always open to discussing new research opportunities, technical collaborations, or simply sharing insights about the evolving landscape of bioinformatics. Whether you have a specific project in mind or just want to chat about genomic data, feel free to reach out.