Summary
Elisa Warner is a Staff Machine Learning Scientist and bioinformatician with a PhD from the University of Michigan, bringing eight years of hands-on ML and software experience and a decade of coding across Python and R. She has published 18 papers with 300+ citations for work that spans multimodal and privileged learning, and during a Genentech internship she accelerated histology-to-RNA models by redesigning preprocessing and dataset pipelines to be 100x faster. At Visa and in academic labs she combines production-grade ML engineering (PyTorch, TensorFlow, scikit-learn) with domain expertise in genomics, spatial transcriptomics, imaging and clinical data. Known for strong documentation and reproducible research practices, she also has practical data engineering and web-scraping experience from startup work and is fluent in German with formal training in health informatics.
8 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy - PhD Bioinformatics, Doctor of Philosophy - PhD Bioinformatics at University of Michigan
Master of Public Health - MPH Molecular Epidemiology, Master of Public Health - MPH Molecular Epidemiology at University of Michigan School of Public Health
German, Polish, Chinese, Spanish, French, Korean