I am a Marie Skłodowska-Curie Actions (MSCA) DSTrain fellow at the University of Oslo, where I conduct research in cosmology. My research focuses on developing machine learning techniques to address a wide array of problems in astrophysics and cosmology. Recently, I've been focusing on studies of cosmic topology and the anomalies of the cosmic microwave background. In addition, with my collaborators, I work on developing numerical methods for testing theories of modified gravity in cosmological and laboratory settings. I am also a member of several scientific collaborations, including COMPACT, DES, Euclid and the XMM Cluster Survey. Beyond cosmology, I apply machine learning to interdisciplinary challenges, such as developing algorithms to detect images of illegal wildlife product sales online. For more information, see my publications and my CV.
Current positions:
MSCA DSTrain fellow at University of Oslo;
Visiting researcher at CERCA/ISO, Case Western Reserve University.
Position history:
2022 - 2025: Case Western Reserve University (Richard S. Morrison postdoctoral fellow) and Instituto de Física Teórica (IFT), UAM/CSIC, Madrid (postdoctoral researcher);
2020 - 2022: University of Nottingham, postdoctoral research associate;
2017 - 2020: University of Portsmouth, Institute of Cosmology and Gravitation, data intensive science (DISCnet) PhD in cosmology;
2015 - 2017: Data scientist and yield developer at EasyJet;
2010 - 2015: University of Edinburgh, MPhys in physics.