PhD in Machine Learning and Computational Biology with expertise in AI for biomedical data (omics, clinical, imaging, EHRs). Combining deep technical knowledge with strategic problem-solving to advance data-driven innovation in precision medicine and accelerate drug development.

I am currently a strategy consultant at McKinsey, specializing in using AI and data-driven insights to drive digital transformation in pharma and biotech. Prior to joining McKinsey, I completed my PhD in machine learning and computational biology at ETH Zürich and studied physics at the University of Freiburg, Imperial College London and University of Oxford.

Main research interest: Machine learning and statistics (causality, Bayesian networks, inference, missing data); Interdisciplinary applications (genomics, cancer genomics, personalized medicine)