Saskia Kowald

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About

Saskia Kowald is a rising leader in the development of automated platforms for preclinical cancer research, with a primary focus on advancing zebrafish xenograft models. Her work addresses a critical bottleneck in translational oncology: the labor-intensive and technically demanding process of microinjecting cancer cells into zebrafish larvae. Kowald’s major contributions center on engineering automated microinjection systems that dramatically increase the throughput, precision, and reproducibility of these models. By automating this delicate procedure, she is helping to unlock the full potential of zebrafish xenografts as rapid, cost-effective diagnostic tools for predicting patient responses to cancer therapeutics. Her most-cited paper (2025, 5 citations) and a closely related 2024 publication (2 citations) have already established the foundational principles for this automation, demonstrating its feasibility and impact. Though early in her career, Kowald’s work is poised to bridge the gap between high-throughput drug screening and personalized medicine, offering a scalable solution that could transform how clinicians select treatments. Her innovative approach positions her as a key figure in the next generation of cancer diagnostics and therapeutic testing.