Summary
I am a Research Associate working with Oscar Rueda to develop advanced multi-state survival models to predict breast cancer progression, integrating high-dimensional omics and clinical data to build dynamic prognostic tools. Previously, I worked with Chris Wallace at the Department of Medicine (CITIID) on outcome-guided biclustering for gene expression. I hold a PhD in Applied and Computational Mathematics from the University of Edinburgh, where I worked with Kostas Zygalakis and Marcelo Pereyra on accelerating MCMC algorithms for high-dimensional imaging inverse problems.
Publication list (more on my Google Scholar profile):
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Pereyra, M., Vargas-Mieles, L. A., & Zygalakis, K. C. (2020). Accelerating proximal Markov chain Monte Carlo by using an explicit stabilized method. SIAM Journal on Imaging Sciences, 13(2), 905-935.
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Vargas-Mieles, L. A., Kirk, P. D., & Wallace, C. (2025). Outcome-guided spike-and-slab Lasso Biclustering: A Novel Approach for Enhancing Biclustering Techniques for Gene Expression Analysis. Statistics and Computing, 35, 179.
