🔭 I’m currently working as a Data Science and Neuroinformatics Intern at the Center for Advanced Pain Studies (CAPS), where I dive into projects on machine learning models and bioinformatics pipelines for genomic analysis. 🌐 My projects span developing pipelines for spatial transcriptomics, creating object detection models for neuron identification, integrating omics and proteomics data, and automating workflows with Docker and NextFlow.
🔬 My research interests include exploring non-coding RNA datasets to uncover their roles in neuropathy and chronic pain pathways. 🧬 I’m also working with tools like AlphaFold, ESMFold, and RosettaFold to deepen our understanding of protein-folding in these processes.
👥 I’m always open to collaborations in bioinformatics, particularly on projects involving machine learning! I’m also eager to help automate sequencing data pipelines for single-cell data (CellRanger), spatial transcriptomics (SpaceRanger), Bulk-RNA-seq, ATAC-seq, and XeniumRanger, aiming for minimal manual intervention.
📘 Currently, I’m expanding my expertise in proteomics and systems neuroscience while pursuing a Master of Science in Business Analytics and Artificial Intelligence.
🌱 My journey into Neuroinformatics began as a Student Assistant with Dr. Tavares, where I developed a deep curiosity that led me to join CAPS in February 2023. I transitioned into an intern role, contributing to neuron detection and data pipeline projects.
🌄 Outside the lab, I’m always up for adventure—be it trekking, cycling new terrains, running, or camping. One memorable challenge: I once cycled 50 miles through mountainous terrain, reveling in every mile! This spirit of exploration fuels everything I do, in the lab and beyond.
Curious about my journey?
🔗 Explore my Portfolio, and get in touch!
