Senior RWE Data Scientist

The petitioner proposes to use large-scale population datasets, cancer registries, and modern modeling tools, including AI, to identify healthcare and biological determinants of cancer outcomes and disparities. Her work focuses on building statistical and computational frameworks that connect real-world data to clinical decisions, specifically identifying barriers to delayed diagnosis and gaps in care. The goal is to translate these findings into evidence-based strategies for cancer prevention, early detection, and survivorship care.

The petitioner proposes to advance cancer research by developing cutting-edge foundational models through big data analysis. This work focuses on exploring gene-gene and cell-cell interactions to improve the understanding of cellular states in cancer patients. The goal is to enable personalized treatment strategies that reduce side effects and enhance patient outcomes.

The petitioner proposes to design robust scientific studies and analyze data using advanced statistical techniques to improve treatment options and increase access to innovative medicines for patients with hard-to-treat cancers. His work focuses on integrating social data with medical data to elucidate the epidemiology of diseases and address unmet social needs in healthcare.

The petitioner proposes to advance cancer research and improve patient care by making cancer genomics data more accessible and reusable. This work involves developing scalable, interoperable data pipelines and contribution systems that allow researchers and clinicians to efficiently utilize complex genomic and clinical information.