Summary
Alfred Lyle is a Research Data Analyst in Portland with nine years of experience combining behavioral science, clinical practice, and computational data analysis to advance pediatric cancer research. At UC Santa Cruz he built RNA-ranker and produces tumor board presentations from pediatric RNA-Seq data used by major clinical centers, translating complex genomic signals into actionable insights. Trained in biochemistry and behavioral analysis, he blends wet-lab experience and clinical assessment frameworks (VB-MAPP) with Python/R and ML tools to create tools that improve human well-being. His background in therapy and special education gives him a practical, patient-centered lens uncommon among data scientists, informing how he prioritizes interpretable, clinically useful models.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Arts - BA, PSYCHOLOGY, 3.66, Bachelor of Arts - BA, PSYCHOLOGY, 3.66 at University of California, Berkeley
Machine Learning Engineer Nanodegree, Data Science, Machine Learning Engineer Nanodegree, Data Science at Udacity
Master of Biomedical Science, Biochemistry and Molecular Biology, 4.0, Master of Biomedical Science, Biochemistry and Molecular Biology, 4.0 at Tulane University
Spanish