Welcome!

I am a computational scientist with a passion for leveraging bioinformatics, data science, and reproducible programming to drive innovative research and therapeutic advancements. My expertise spans multi-omics data analysis, statistical modeling, and bioinformatics pipeline development, enabling me to extract meaningful insights from complex biological datasets.

My Ph.D. research at Northwestern University focused on genetic diversity and its influence on growth and development, where I developed a strong foundation in statistical analysis, data visualization, and computational modeling. Through this work, I became an avid user of R and Python, using these tools to perform rigorous analyses and generate impactful scientific insights.

I have since applied my expertise across multiple industries, including healthcare, clinical research, and biotech startups. As a Senior Bioinformatician at Lurie Children’s Hospital of Chicago, I contributed to clinical and translational research, developing bioinformatics solutions to support diagnostic assessments and pediatric disease research. In this role, I expanded my skill set to include Bash and Nextflow, allowing me to build and maintain scalable, reproducible pipelines for analyzing genomic and transcriptomic data.

Currently, as a Data Scientist II at Evozyne, a pre-clinical stage biotech startup, I integrate bioinformatics and computational modeling to support therapeutic discovery in gene editing and protein engineering. I thrive in fast-paced, interdisciplinary environments, where adaptability and collaboration are essential for solving complex biological problems.

At the core of my work is a deep enthusiasm for bridging science, data, and strategy—translating raw biological data into actionable insights that drive scientific innovation.

Welcome to my blogdown-powered website! Please have a look around!