Ayelet Ran

Led product strategy for a ctDNA cancer monitoring platform, translating complex biological data into actionable clinical insight. Drove competitive/market discovery and defined a multi-mutation, multi-indication roadmap while embedding LLMs, RAG, and prompt engineering into day-to-day product work.

Owned end-to-end development and US launch of an AI-based clinical decision-support product for oncologists. Delivered 17× growth in test orders from Q1 to Q4 by expanding clinical workflows and new ordering access pathways, while managing a matrix team across engineering, data science, and sales.

Built digital health products from ideation through MVP and pilot deployment in real-world healthcare environments. Translated user needs and domain complexity into product requirements to support scalable adoption.

Managed AI-based predictive products for early disease detection. Converted machine learning models into deployable product features and ensured alignment with real-world product requirements.

Designed and led implementation of AI systems across healthcare organizations in Israel and Europe with a product-focused approach to scalable enterprise adoption. Managed complex integrations with organizational systems and data sources while aligning AI capabilities to frontline workflows.

Completed an M.E. in Biomedical Engineering at the Technion.

Grade: Cum Laude

Earned a B.Sc. in Industrial Engineering & Management (Cum Laude) from the Technion.