Dr. Ball is an experienced collaborative statistician and data scientist with a demonstrated history (> 15 years) of successful cross-functional collaborations. At C-WHO, Dr Ball serves as a consulting statistician on a variety of applications while continuing to work full-time as a Computational Scientist at The Jackson Laboratory in Bar Harbor, Maine.
Dr. Ball earned a doctorate in Statistics at Texas A&M University in 2013 and an MS and BS in Mathematics at Texas A&M University-Corpus Christi.
While a doctoral student, she received a NASA Fellowship at Johnson Space Center where she developed a statistical model to predict ‘heart age’ using the electrocardiogram and completed two internships at UT MD Anderson Cancer Center where she applied machine learning techniques on cancer genomics.
At The Jackson Laboratory, Dr. Ball developed a novel method to identify patterns in coupled data, developed a pipeline to identify novel gene isoforms and analyzed non-standard RNAseq data. Dr. Ball recently re-joined The Jackson Laboratory as a Computational Scientist and develops genomic resources to facilitate robust scientific discoveries in genetics and genomics.
Prior to re-joining The Jackson Laboratory, Dr. Ball was a Senior Biostatistician at Stanford University where she served as the statistical lead in medical research initiatives across a wide variety of fields (e.g., Neuroradiology, Cardiology, and Oncology). At Stanford, she mentored students and junior faculty in clinical research and especially enjoyed her mentorship of computer science students in Andrew Ng’s AI for Healthcare Bootcamp. There, she worked with students to develop cutting edge machine learning models to predict radiology outcomes, such as pulmonary embolism.
She continues to serve on the Machine Learning Steering Committee of the Radiological Society of North America (RSNA) and for the last two years, worked to produce the RSNA Kaggle competition. Dr. Ball also serves on the Executive Committee of the American Statistical Association Statistical Consulting Section.
Dr. Ball is committed to producing robust and reproducible analyses and is passionate about building tools to put data and resources back in the hands of scientists and researchers to facilitate discovery.
