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. During his first appointment at IBM Research, he used machine-learning techniques to develop decision support tools for business management. He was then awarded a Swiss National Science Foundation fellowship for a PhD at ETHZ, during which 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. M. A. Cuendet was awarded a second Swiss National Science Foundation fellowship for a postdoctoral stay at New York University, during which he focused on numerical methods for efficient exploration of high-dimensional energy landscapes, and on dimensionality reduction methods to describe the behavior of complex biomolecular systems. Subsequently, M. A. Cuendet joined Weill Cornell Medicine 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 Analytical Personalized Oncology Department of the Lausanne University Hospital (CHUV), a Senior Scientist at the Swiss Institute of Bioinformatics, and an Adjunct Assistant Professor at Weill Cornell Medicine.

Full Curriculum Vitae


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