Lisa Gaedke-Merzhäuser

Lisa Gaedke-Merzhäuser is a PostDoctoral Fellow at the King Abdullah University of Science and Technology (KAUST), under the supervision of Professor Håvard Rue in his research group.

Biography

Lisa Gaedke-Merzhäuser is a Postdoctoral Fellow in the BayesComp group at KAUST, led by Prof. Håvard Rue. She holds a PhD in Computational Science from Università della Svizzera italiana (USI) in Lugano, Switzerland. Her research interests lie in fusing statistical learning techniques with methods from high-performance computing. She has been developing INLA_DIST, a distributed memory GPU-accelerated version of INLA for large-scale spatio-temporal models.

Research Interests

Combining statistical learning techniques with methods from high-performance computing, large-scale Bayesian modeling, computationally efficient methods for INLA.

Education

Doctor of Philosophy (Ph.D.)
Computational Science, Università della Svizzera italiana, Switzerland, 2024
Master of Science (M.S.)
Mathematics, Freie Universität Berlin, Germany, 2019