Alice Macqueen is a software engineer who applies eight years of computational biology and data science experience to problems at the intersection of genomics, plant adaptation, and assay development. Her work spans academia and industry—from NSF-funded postdoctoral research with publications in Nature-family journals to improving diagnostic bioinformatics pipelines at Adaptive Biotechnologies. She combines hands-on wet-lab understanding with robust programming skills to reconcile complex assay changes and analyze large phenotype/genotype datasets. Based in San Antonio, she blends field and greenhouse experimental insight with scalable data analysis, making her especially effective on projects that require both biological nuance and production-ready code. Outside work she stays active running and swimming and is an avid listener and informal teacher of data science skills, reflecting a practical, collaborative approach to mentorship and continual learning.
8 years of coding experience
Doctor of Philosophy (Ph.D.), Ecology and Evolutionary Biology, Doctor of Philosophy (Ph.D.), Ecology and Evolutionary Biology at University of Chicago
Bachelor of Science (BSc), Biology, Bachelor of Science (BSc), Biology at University of Virginia
Contributions:108 pushes, 2 branches, 2 issues in 2 years 6 months
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