Sigrid Passano Hellan

Hi! I'm Sigrid, a machine learning researcher interested in climate applications. I've recently completed a PhD in Data Science at the School of Informatics, University of Edinburgh. I'm now working as a research scientist at SINTEF Energy Research.

My research interests are Bayesian optimisation and constructing priors, as well as machine learning applications related to climate and the environment. In my PhD I have applied Bayesian optimisation to air pollution monitoring: read more about my project here. My supervisors were Nigel Goddard and Christopher Lucas.

January 2024: I passed my viva (defended my PhD). Thank you to Joaquin Vanschoren and Arno Onken for an insightful and friendly viva!
October 2023: I'm very grateful to have won a grant from G-Research towards attending NeurIPS 2023 and presenting our workshop paper Data-driven Prior Learning for Bayesian Optimisation.
April 2023: I've recently completed an internship with AWS in Berlin, working on hyperparameter optimisation of ML models. I also contributed to GluonTS and Syne Tune.
December 2022: Tiffany Vlaar and I organised the Early-Career Researchers in Climate and ML Social at NeurIPS 2022.