Ph.D. Bioinformatics, University of Georgia

B.S . Mathematics, Clark Atlanta University

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Dr. Ashley Scruse earned her Ph.D. in Bioinformatics from the University of Georgia (2024) and her B.S. in Mathematical Sciences from Clark Atlanta University. Her doctoral research focused on combinatorial probability and the mathematical structures underlying genetic regulatory networks, including counting subnetwork motifs that arise from gene duplication.

Her research interests lie at the intersection of machine learning, high-performance computing, AI safety, and computational biology. She is broadly interested in how HPC infrastructure can enable rigorous, large-scale evaluation of AI systems and in building and training machine learning models on large-scale datasets in bioinformatics, health informatics, and scientific computing. Her focus is on building usable artifacts such as open-source tools, evaluation benchmarks, and reproducible pipelines rather than research that lives only in publications. 

Beyond the research she is committed to training the next generation of researchers and builders. She has led programs including the SBX (Summer Bridge Experience) for incoming computing science majors to learn Python and a Machine Learning Postbaccalaureate Program, mentoring over 35 students on independent research projects spanning health analytics, AI and automation, and applied machine learning.

Dr. Scruse is always open to collaborations across machine learning, AI safety, HPC, and bioinformatics. More about her work can be found at here.