Jonathan Souquet

Papers

Total Citations

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About

Jonathan Souquet is a rising figure in bioprocess engineering, whose work is shaping the future of biopharmaceutical manufacturing. His primary research focuses on the automation and optimization of cell culture processes, particularly for monoclonal antibody production. Souquet’s major contribution lies in pioneering the concept of "self-driving" perfusion processes, where machine learning and robotics converge to autonomously develop and refine production protocols. His 2024 paper on this topic, already garnering early citations, outlines a framework that could dramatically slash the time and cost of transitioning from drug discovery to commercial manufacturing. By integrating real-time data analytics with automated bioreactor control, Souquet is addressing one of the industry’s most pressing bottlenecks: the labor-intensive, trial-and-error nature of process development. Though early in his career, his work signals a paradigm shift toward fully autonomous bioprocessing, promising to accelerate the delivery of life-saving therapies. For students and researchers, Souquet represents the vanguard of a new era where artificial intelligence and biological engineering converge to make drug production faster, smarter, and more reliable.