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Joshua Loftus is an Assistant Professor in the Department of Statistics at the London School of Economics. His research focuses on improving practices in data science and machine learning, with a particular emphasis on reducing the impact of biases associated with social harms and scientific reproducibility. He is involved in developing methods and software for statistical inference and model selection, utilizing causality to analyze fairness and interpretability in machine learning algorithms. Furthermore, he is broadly interested in high-dimensional statistics and causal inference, and he teaches theoretical and applied practices in data science using the R statistical programming language. Before joining LSE, Joshua earned his PhD in Statistics from Stanford University and held a position as a Research Fellow at the Alan Turing Institute, affiliated with the University of Cambridge. He was also an Assistant Professor at New York University from 2017 to 2020. Currently, Joshua is on sabbatical for the 2025/26 academic year.
Department of Economics