I'm a Bioinformatician at the Kansas Health and Environment Laboratories, where I analyze Whole Genome Sequencing data to support public health initiatives, including pathogen surveillance and outbreak investigation.
- 🧬 Whole-genome sequencing (WGS) analysis for pathogen surveillance and outbreak tracking
- 🤖 Expanding my knowledge of Artificial Intelligence and Machine Learning for biological data analysis
- 🛠️ Developing reproducible and scalable bioinformatics workflows using tools like Nextflow, Snakemake, Docker
- Bioinformatics, genomics, and data-driven public health
- Applying machine learning to biological and genomic datasets
- Building reproducible, automated pipelines for large-scale sequencing analysis
- Email: ajawali@alumni.cmu.edu
- Pronouns: She/Her
I believe every dataset has a story—sometimes you just need the right algorithm to uncover it.
| Project | Description |
|---|---|
| 🧬 Candida auris Genomics Pipeline | Automated bioinformatics workflow for analyzing WGS data for pathogen surveillance |
| 🤖 Lung Cancer Biomarker Prediction | RNA-seq pipeline and Random Forest model for NSCLC biomarker discovery |
| 🦠 PulseNet2.0 | High-throughput cluster detection and epidemiological tracking pipeline |
Languages: Python, R, Bash, Linux
Tools: Nextflow, FastQC, BWA, GATK, ML libraries (scikit-learn, TensorFlow), Docker
Platforms: Linux, GitHub Actions, HPC clusters, NCBI