Since November 2018, I am doing my PhD at the IMSV, Departement of Mathematics and Statistics, University of Bern , working on the “Uncertainty quantification and efficient design of experiments for data- and simulation-driven inverse problem solving” project under Pr. David Ginsbourger supervision.
Currently, I am thrilled to be in the organisation committee of Lifting Inference with Kernel Embeddings (LIKE23), check it out!
My research interests include, but are not restricted to Gaussian processes and uncertainty quantification, density estimation, non-parametric Bayesian approaches, stochastic optimisation and stochastic inverse problems.
More recently, co-supervising a Master thesis allowed me to start working on Gaussian Processes surrogates to guide molecular discovery, I’m eager to explore this domain more!