Camila de Souza

Assistant Professor
Office: WSC 225
Phone: 519-661-2111 x83618



Research interests:

My main research areas of interest include method development and analysis of genomic data, single-cell sequencing, functional data analysis, latent variable modeling, nonparametric regression, semi-parametric models, machine learning and big data analytics.


  • Vieira, R. de C. A., de Sousa, R. M. C., Paiva, W. S., Oliveira, D. V., de Souza, C. P. E., Stubbs, J. L., Panenka, W. J., Predicting outcome in patients with Diffuse Axonal Injury: a comparison between various prognostic models. Submitted to peer review.
  • de Souza, C. P. E., Andronescu, M., Masud, T., Kabeer, F., Biele, J., Laks, E., Lai, D., Brimhall, J., Wang, B., Su, E., Hui, T., Cao, Q., Wong, M., Moksa, M., Moore, R. A., Hirst, M., Aparicio, S., Shah, S. P., (2018) Epiclomal: probabilistic clustering of sparse single-cell DNA methylation data. Submitted to peer review, preprint available at BioRxiv (
  • Zhang, A. W., McPherson A., Milne, K., Kroeger, D. R., Hamilton, P. T., Miranda, A., Funnell, T., Little, N., de Souza C. P. E., Laan, S., LeDoux, S., Cochrane, D. R., Lim, J. L. P., Yang, W.,  Roth, A., et al., (2018) Interfaces of malignant and immunologic clonal dynamics in ovarian cancer. Cell
  • Farahani, H., de Souza, C. P. E., Billings, R., Yap, D., Shumansky, K., Wan, A., Lai, D., Mes-Masson, A-M., Aparicio, S., Shah, S. P., (2017) Engineered in-vitro cell line mixtures and robust evaluation of computational methods for clonal decomposition and longitudinal dynamics in cancer, Nature Scientific Reports 7(1), 13467. 
  • de Souza, C. P. E., Heckman, N. E. and Xu, F., (2017) Switching nonparametric regression models for multi-curve data, The Canadian Journal of Statistics, 45, 442-460.
  • McPherson, A., Roth, A., Ha, G., Chauve, C., Steif, A., de Souza, C. P. E., Eirew, P., Bouchard-Côté, A., Aparicio, S., Sahinalp, S., and Shah, S., (2017) ReMixT: Clone Specific Genomic Structure Estimation in Cancer, Genome biology, 18(1), 140
  • Lenzi, A., de Souza, C. P. E., Dias, R., Garcia, N. L. and Heckman, N. E. (2017) Analysis of aggregated functional data from mixed populations with application to energy consumption, Environmetrics, 28(2)
  • Eirew, P., Steif, A., Jaswinder, K., Ha, G., Yap, D., Farahani, H., Gelmon, K., Chia, S., Mar, C., Wan, A., Laks, E., Biele, J., Shumansky, K., Rosner, J., McPherson, A., Nielsen, C., Roth, A., Lefebvre C., Bashashati, A., de Souza, C., Siu, C., Aniba, R., Brimhall, J., Oloumi, A., Osako, T., Bruna, A., Sandoval, J.,  Algara, T., Greenwood, W., Leung, K., Cheng, H., Xue, H., Wang, Y., Lin, D., Mungall, A., Moore, R., Zhao, Y., Lorette, J., Nguyen, L., Huntsman, D., Eaves, C. J., Hansen, C., Marra, M. A., Caldas, C., Shah, S. P., Aparicio, S. (2015)  Dynamics of genomic clones in breast cancer patient xenografts at single cell resolution, Nature 518, 422–426
  • de Souza, C. P. E. and Heckman, N. E. (2014) Switching nonparametric regression models, Journal of Nonparametric Statistics, 26(4), 617-637 (winner of the 2014 Journal of Nonparametric Statistics Best Student Paper Award). R package switchnpreg available
  • de Souza, C. P. E. and Dias, R. (2010) Introdução à Análise de Dados Funcionais (Introduction to Functional Data Analysis). Monograph from the 19th National Symposium of Probability and Statistics (135 pages). Published by Associação Brasileira de Estatística (Brazilian Association of Statistics), São Paulo, Brazil.