With a dual background in Astrophysics and Applied Mathematics M. A. Cuendet dedicated his career to the exploration of complex many-dimensional systems using high-performance computing combined with cutting-edge algorithms and machine-learning techniques. During his PhD at ETHZ, he combined novel insights in Statistical Mechanics with large-scale numerical simulations to explore the dynamics and function of biomolecules. While pursuing his research at the Swiss Institute of Bioinformatics (SIB), he applied these methods to the T-cell receptor with the aim of improving cancer immunotherapy approaches. As a postdoc at New York University, M. A. Cuendet focused on numerical methods for efficient exploration of high-dimensional energy landscapes, and on dimensionality reduction methods to describe the dynamics of complex biomolecular systems. Subsequently, M. A. Cuendet joined Weill Cornell Medicine (WCM) as a Research Instructor in Computational Biomedicine, where he further explored the function of neurotransmitter transporter and receptor proteins in the cellular membrane. M. A. Cuendet currently has joint appointments as a Group Leader at the Precision Oncology Center of the Lausanne University Hospital (CHUV), a Senior Scientist at the SIB, and an Adjunct Assistant Professor at WCM.