Our ongoing research focuses on establishing a comprehensive framework for quantifying multi-scale imaging. We place particular emphasis on creating an innovative image analysis tool designed to elucidate the spatial distribution of cancer cells and their interactions. To achieve this, we will employ cutting-edge machine learning and deep learning techniques, adapting them for thorough exploratory data analysis through rigorous data integration.

In our laboratory, we foster an environment where student researchers and staff are empowered to take ownership of their work, actively contributing to the generation of multiple conference presentations and journal articles annually. Our lab ethos values passionate and self-motivated team players.

Beyond the confines of the lab, I take pleasure in exploring the trails of Portland with my dog and little one.