I am proficient in a diverse range of tools and technologies, allowing me to move seamlessly from raw biological data to actionable insights. Here is a summary of my core competencies.
Programming and Databases
Python
For data manipulation, machine learning, and building complex bioinformatics pipelines.
R
For statistical analysis, data visualization, and specialized bioinformatics packages.
SQL
For writing queries to retrieve, filter, and manage data from relational databases.
Bash/Shell Scripting
For automating workflows, managing large files, and creating reproducible analysis pipelines in a Linux environment.
Bioinformatics and Data Analysis
Genomic and NGS Analysis
End-to-end analysis of genomic data, from raw reads and quality control to variant calling and functional interpretation.
Phylogenetics and Viral Evolution
Reconstructing evolutionary relationships to track viral transmission and identify key lineages.
Machine Learning
Applying algorithms to biological and clinical datasets for prediction, classification, and feature identification.
Genomic Tools
Familiar with command-line utilities for handling various genomic data formats and performing sequence analysis.
Computational Epidemiology and Public Health
Predictive Health Analytics
Developing models to forecast health outcomes (e.g., disease risk, treatment success) to inform public health strategy.
Genomic Surveillance
Using genomic data to monitor pathogen evolution and transmission dynamics in real-time, supporting outbreak response.
Developer Tools and Platforms
Version Control
Daily user of Git and GitHub for code management, collaboration, and versioning.
Development Environments
Proficient with standard environments for creating reproducible research and reports.
Scientific Databases
Skilled at retrieving and interpreting data from major public biological and viral data repositories.
Web Scripting and Data Mining
Data Acquisition and Automation
Using scripts for data mining, programmatically collecting data from websites, and interacting with APIs.
Wet Lab Skills
Molecular Biology Techniques
Fundamental laboratory experience providing essential context for the data I analyze.