Summary
Lisa Koch is an assistant professor and tenured-track machine learning researcher with 12 years' experience developing deep learning and graph-based methods for biomedical image analysis, particularly in ophthalmology and geometric medical imaging. She blends academic rigor from a PhD at Imperial College and postdoctoral work at ETH Zurich with product-focused leadership from roles as Manager and Senior Data Scientist in digital health, where she guided ML through regulated development lifecycles. Her work spans segmentation, domain adaptation, and weakly/semi-supervised learning to overcome scarce annotations, and she has led cross-functional teams and regulatory-compliant processes for clinical-grade ML products. Based in Bern, Switzerland, she is known for translating methodological advances into deployable solutions and for bridging research and product requirements in medical imaging.
12 years of coding experience
5 years of employment as a software developer
Master of Science (MS), Bioengineering and Biomedical Engineering, Master of Science (MS), Bioengineering and Biomedical Engineering at Eidgenössische Technische Hochschule Zürich
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Imperial College London
German, English, Spanish