Lisa Iype is a data scientist and bioinformatics software developer with 12 years of experience turning high-dimensional cancer genomics into publishable insights and interactive web tools. She has played key roles in multiple TCGA projects and Pan-Cancer efforts, contributing to manuscripts in top journals and building the Regulome Explorer for cross-omics visualization. Technically fluent in R, Python, Perl, SQL and UNIX, she blends statistical modeling, feature engineering and machine learning with production-focused web and database development. Her background spans hands-on annotation of structural databases (PDB/NDB) to leading LAMP-based scientific portals for disease-specific communities. A lifelong learner, she recently completed Coursera specializations in R software development, applied Python data science and deep learning while volunteering in local schools and library programs. Colleagues describe her as a collaborative project manager who quickly grasps new domains and converts complex biological questions into usable data products.
12 years of coding experience
9 years of employment as a software developer
Ph.D., Biochemistry, Ph.D., Biochemistry at University of Wisconsin-Madison
Bachelor of Arts (B.A.), Double Major - Biology and Chemistry, summa cum laude, Bachelor of Arts (B.A.), Double Major - Biology and Chemistry, summa cum laude at Notre Dame of Maryland University
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