Camila de Souza

Associate Professor
Office: WSC 225
Phone: 519-661-2111 x83618
Email: camila.souza@uwo.ca


  Website

 

Graduate Student Supervision

  • Felipe Ferreira (PhD)
  • Wenxin Li (PhD)
  • Hailong Jiang (PhD)
  • Chen Peng (MSc)
  • Qiduo (Abelia) He (MSc)

Research interests:

My research program focuses on developing new statistical methods to analyze large, complex data structures arising across various areas of the Natural Sciences, Health, and Engineering. I conduct research on techniques including clustering, hierarchical mixture models, mixed effect models, hidden Markov models, nonparametric regression, semi-parametric models, the expectation-maximization (EM) algorithm, and Bayesian variational inference.

Recent Publications: 

Preprints
  • A.C. da Cruz and C.P.E de Souza, Variational Inference for Variable Selection in Scalar-on-Function Regression, arXiv preprint https://arxiv.org/abs/2603.07856
  • A.C. da Cruz, C.P.E. de Souza, and P.H.T.O. Sousa, Fast Bayesian basis selection for functional data representation with correlated errors. Preprint available at arXiv. https://arxiv.org/pdf/2405.20758​​​​​​​
  • Pedro Henrique T. O. Sousa, Camila P. E. de Souza, Ronaldo Dias, Bayesian Adaptive Selection of Variables for Function-on-Scalar Regression Models. arXiv preprint arXiv:2303.03521, https://arxiv.org/pdf/2303.03521.pdf
 
Published (and accepted) manuscripts
  • N. Sadjadi, C.P.E. de Souza, G. S. Randhawa, K. A. Hill, and L. Kari (2026). Genome-wide Pervasiveness and Localized Variation of k-mer-based Genomic Signatures in Eukaryotes. Accepted and to appear in Scientific Reports. 
  • da Cruz, A. C., & de Souza, C. P. E. (2026). A Bayesian Approach for Clustering Constant-Wise Change-Point Data. Stats, 9(2), 31. https://doi.org/10.3390/stats9020031
  • AghahosseinaliShirazi, Z., Rangel, P. A., & de Souza, C. P. E. (2026). Model-based clustering of multi-dimensional zero-inflated counts via the EM algorithm. Journal of Statistical Computation and Simulation, 1–42. https://doi.org/10.1080/00949655.2026.2615001
  • C. Xian, C.P.E. de Souza, W. He, F.F. Rodrigues, and R. Tian (2025). Fast variational Bayesian inference for correlated survival data: an application to invasive mechanical ventilation duration analysis. Statistics in Medicine, 44:e70198 https://doi.org/10.1002/sim.70198
  • Z. Fazel, C. P. E. de Souza, G. B. Golding, L. Ilie (2025). Explainability of Protein Deep Learning Models. International Journal of Molecular Sciences, 26(11), 5255. https://doi.org/10.3390/ijms26115255​
  • ​Negar Safinianaini, Camila P.E. De Souza, Andrew Roth, Hazal Koptagel, Hosein Toosi, Jens Lagergren, (2024). CopyMix: Mixture model-based single-cell clustering and copy number profiling using variational inference, Computational Biology and Chemistry. Published online. https://doi.org/10.1016/j.compbiolchem.2024.108257
  • R.C.A. Vieira, R.M.C. de Sousa, W.S. Paiva, L.Z. Pipek, D.V. de Oliveira, D.A. Godoy, C.P.E. de Souza, J.L. Stubbs, W.J. Panenka (2024). Predicting outcomes in patients with diffuse axonal injury: external validation of the widely used prognostic instruments. Annali Italiani di Chirurgia, 95(3), 382–390. https://doi.org/10.62713/aic.3510
  • Xian, Chengqian, Camila de Souza, John Jewell and Ronaldo Dias (2024). Clustering Functional Data via Variational Inference.  Advances in Data Analysis and Classification. Published online. https://doi.org/10.1007/s11634-024-00590-w​
  • Rita de Cássia A. Vieira, Gabriela L. de Barros, Wellingson S. Paiva, Daniel V. de Oliveira, Camila P. E. de Souza, Eduesley Santana-Santos & Regina M. C. de Sousa (2024) Severe traumatic brain injury and acute kidney injury patients: factors associated with in-hospital mortality and unfavorable outcomes, Brain Injury, DOI: 10.1080/02699052.2024.2304885