Sakina Hansen

Sakina Hansen is a Researcher at the Department of Statistics, London School of Economics (LSE). Her key expertise lies in Data Science, with a focus on causal inference methodologies and machine learning applications. She contributes to the LSE Data Science Research Group and is supervised by Dr. Joshua Loftus and Dr. Kate Vredenburgh.

Her research interests bridge statistical theory and practical data analysis, emphasizing model interpretability and ethical AI development. Recent work explores causal dependency structures and challenges in algorithmic auditing, while earlier research applied deep learning to astrophysical problems like galaxy kinematics analysis.

Though no scientific awards are listed, her articles reflect contributions to both foundational statistics and interdisciplinary computational methods. Supervised by senior researchers, her academic trajectory indicates active engagement in cutting-edge data science research.