Jagoda Jablonska is a protein scientist and computational biologist working at the intersection of protein design, machine learning, and synthetic biology. She is currently Protein Design Team Lead at Scala Biodesign, where she leads the computational platform that enables faster and more reliable design of enzymes and therapeutic proteins.Jagoda earned her PhD from the Weizmann Institute of Science, where she studied the fundamental principles of protein evolution and the origins of enzymatic function. Her research has contributed to understanding how modern protein architectures emerged, including widely recognized work on oxygen-utilizing enzymes and ancestral protein folds.Her career spans both academia and industry, with a strong focus on translating computational insights into real-world impact. Before joining Scala, she led data science efforts supporting the development of phage-based therapeutics, integrating structural biology, machine learning, and clinical data. She also applied protein design and modeling to optimize the production of animal-free dairy proteins, demonstrating how synthetic biology can address global sustainability challenges.Jagoda’s work is driven by a broader vision: to make protein design more accessible, iterative, and data-driven—turning what was once a slow, experimental process into a scalable engineering discipline. She is particularly passionate about building tools and teams that empower scientists to move faster and think more creatively.As a leader, she brings an interdisciplinary perspective that bridges deep science with product thinking and real-world applications. She is an active contributor to the scientific community and is committed to supporting the next generation of women in synthetic biology.