At the Scalable Scientific Imaging Lab (S²IL), we engage in interdisciplinary collaborations to develop extensible workflows for large-scale image analysis. Our goal is to transform raw imaging data into quantifiable scientific insights, with a particular focus on biomedical research spanning single-cell division, organ development, and translational cancer studies. To this end, we build resilient computational pipelines that scale seamlessly from laptops to high-performance clusters and cloud platforms. Paired with intuitive, user-friendly interfaces for interactive data exploration and visualization, these tools are aimed to advance open and reproducible science across disciplines.
Research Tags: Image & Data Analytics, Data Systems, High-Performance Computing, Data Design & Visualization, Biomedical Research
