Determining AI Needs: Guide to AI Implementation

Candace Savonen has established herself as a dedicated educator and innovator in genomic data science, focusing on making complex bioinformatics tools and concepts accessible to diverse audiences. Her work centers on developing comprehensive educational materials that emphasize reproducibility and scalable teaching methods in bioinformatics and cancer genomics. As a key contributor to various educational initiatives, she has been instrumental in creating and delivering bioinformatics education materials specifically tailored for cancer genomics research. Her approach combines practical application with theoretical understanding, ensuring that learners can effectively apply genomic tools to their specific areas of expertise. Through her involvement in developing online learning modules and educational resources, she has demonstrated a commitment to breaking down barriers in genomic data science education, making these essential tools and knowledge more attainable for researchers and practitioners across different fields. Her teaching methodology emphasizes the importance of reproducible research practices and sustainable approaches to data analysis, contributing significantly to the democratization of genomic data science education.