Researcher
University Leipzig, Germany
Maximilian Ferle is a data scientist and PhD candidate in Medical Informatics at Leipzig University, where he is developing a digital twin system for CAR T-cell therapy in multiple myeloma. With a strong academic background including a Master's in Neurosciences and a Bachelor's in Biochemistry, Maximilian brings a unique interdisciplinary perspective to his research.
Currently serving as Product Owner at the Innovation Center Computer Assisted Surgery (ICCAS) at the University Medical Center Leipzig, Maximilian leads the development team for KAIT Medical Device Software. His professional experience includes roles as a Scientific Researcher at the Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) and as a Data Scientist at singularIT GmbH, where he honed his expertise in AI engineering, machine learning, and software development.
Maximilian's research has been published in journals including npj Digital Medicine and The Lancet Haematology, with a focus on applying machine learning to predict disease progression in multiple myeloma and developing virtual twin models for personalized cancer therapies. His technical skillset encompasses professionally skilled programming, machine learning frameworks, computer vision, and advanced statistical analysis.
Through his work at the intersection of data science, machine learning, and medicine, Maximilian is contributing to the advancement of personalized healthcare through computational approaches and AI-driven solutions.