معرفی
Sally Ellingson is an Assistant Professor at the University of Kentucky with affiliations in the Department of Internal Medicine, Center for Computational Sciences, Institute for Biomedical Informatics, and Markey Cancer Center. Her work bridges computational methods with biomedical applications.
- Doctor of Philosophy, University of Tennessee-Knoxville (2014)
- Bachelor of Science in Computer Science, Florida Institute of Technology (2009)
Her research focuses on high-performance computing (HPC) for computational biology, particularly in drug discovery and cancer therapeutics. She develops mathematical models using differential geometry and graph theory to analyze biomolecular data, targeting resistance mechanisms in lung and prostate cancers through EGFR mutations and androgen receptor pathways.
Recent computational work spans drug resistance prediction, ligand-receptor binding models, and AI bias in pathology, with applications to precision oncology and open data transparency. Her articles demonstrate interdisciplinary integration of machine learning, molecular dynamics, and structural biology.
- Recipient of the COMP-Chemical Computing Group Excellence Award for Graduate Students (2013)
Ellingson leads NSF-funded projects on robust biomolecular data modeling and collaborates on TP53 mutation studies at the Markey Cancer Center. Her work aligns with UN Sustainable Development Goals, emphasizing scientific innovation for global health and computational sustainability.
