Manuel Schürch

Postdoctoral Fellow
Department of Data Science, Dana-Farber Cancer Institute

Manuel has a diverse background in Machine Learning, Statistics, and a range of biomedical applications. He earned his Bachelor’s degree in Computer Science and a Master’s in Statistics from ETH Zurich, followed by a PhD in Machine Learning from USI Lugano. Afterward, he pursued postdoctoral research at UZH and USZ Zurich, where he developed machine learning methods for personalized decision support in fields such as rheumatology, ICU care, diabetes, delirium, immunology, oncology, and solid organ transplantation. Currently, at Dana-Farber Cancer Institute, Manuel’s research focuses on designing advanced machine learning and statistical models to analyze biomedical data, particularly for stem cell transplantation and multi-omics cancer datasets. His technical expertise and interest span probabilistic modeling, generative time series, counterfactual treatment effect estimation, uncertainty quantification, explainable AI, and foundational AI models in biomedicine. Manuel’s work is driven by the goal of advancing AI methods for personalized medicine, with applications in oncology, organ transplantation, and beyond.

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