Self-motivated bioinformatics research scientist with over 8 years of experience conducting research across a broad range of topics in bioinformatics, pharmacology, and genetic engineering. Proven ability to quickly master new techniques, tools, and scientific domains to support complex, hypothesis-driven research programs. Technical Skills include:

• Sequencing Technologies: Experienced with Variant Analysis, CRISPR gene editing analysis, Methyl-seq, bulk RNA-seq,Shape-seq, scRNA-seq, PacBio and Nanopore sequencing for AAV analysis, and more.

• CADD Approaches: ADMET protein modeling, protein structural comparisons, QSAR, ligand pocket prediction, molecular docking, and molecular dynamic simulations, ligand exposure assays, NOAEL assays, and use of chemical fingerprints.

• Machine Learning: Experienced in developing and implementing ML pipelines for biological data analysis, including data preprocessing, feature engineering, model selection, training, and performance evaluation.

• Pipeline Development: Proficient at the utilization of the pipeline workflow manager Nextflow, Docker containers, and Git version control, to conduct reproducible analyses from custom built pipelines.

• High-Performance Computing: Linux-based systems (SLURM and LSF); as well as AWS S3 and EC2. Experience with Jupyter Notebooks, GitPod and Google Colab for cloud computing and collaboration.

• Languages: Python, R, and Bash scripting for data manipulation, statistical analysis, machine learning, visualization and tool development. • Molecular Techniques: Working knowledge of the most used molecular techniques for the engineering, extraction, analysis, amplification, and sequencing of DNA and RNA.

• 🌍  I'm based in Miami, FL
• ✉️  You can contact me at [email protected]

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