About
Muhammad Qasim is a Lecturer and Researcher at the Department of Statistics, Lund University. His work bridges theoretical and applied statistics, with a focus on causal inference, regularization methods, and high-dimensional data analysis.
- Current roles: Lecturer, Researcher
- Key research areas: Mendelian randomization, DEA, econometric techniques, sparse estimation
- Teaching expertise: High-dimensional data analysis, deep learning, regularization methods, and statistical theory
His recent publications highlight advancements in instrumental variable selection, ridge regression, and addressing endogeneity in probit models. These contributions span econometrics, biostatistics, and energy sector applications. Collaborations with researchers like K. Månsson and N. Balakrishnan underscore his interdisciplinary approach.
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