Mission
We study and advance the foundations of data-driven science and engineering.
We power scientific discovery, driven by AI and statistical science.
Recent News
– Feb 09, 2023: We have one open PhD position in our group in the area of deep learning for drug repurposing. Please get in touch with us for more information. Link to advertisement.
– Feb 20, 2023: We have one open PostDoc position in our group in the area of constrained statistical design of experiments addressing fairness and bias in scientific experiments. Link to advertisement.
– Mar 10, 2023: We will soon have a Bachelor thesis project in collaboration with Prof. Stefano Moretti’s lab in the area of ML for High Energy Physics.
Research Areas
Sampling
statistical sampling, data gathering, active learning, design of experiments, sequential design, reinforcement learning
Modeling
surrogate modeling, multi-fidelity modeling, deep learning, time series modeling
Optimization
Bayesian optimization, non-convex optimization, surrogate-based single and multi-objective optimization
Inverse Problems
likelihood-free parameter estimation, approximate Bayesian computation, learning summary statistics