معرفی
Daniel Lawson is a researcher at the School of Mathematics, University of Bristol, specializing in data science and genetics. His work bridges interdisciplinary domains, including Bayesian epidemic modeling, population genetics, and machine learning.
- Key methodologies include CLARITY for cross-domain similarity analysis and badMIXTURE for validating admixture models.
- He teaches the Data Science Toolbox unit for the MSc Mathematics of Cybersecurity program.
- His research spans genomic architecture, cultural dynamics, and wind energy market models.
Recent publications focus on dynamic network embeddings, ancestry inference, and simulation-based earthquake modeling. Lawson collaborates with Prof. Patrick Rubin-Delanchy and Prof. Robert Allison on clustering techniques.
Contact: dan.lawson@bristol.ac.uk | Fry Building, University of Bristol.
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