research interests

statistical inference of phylogenetics: theoretically solid, biologically realistic and computationally tractable models;

networks: phylogenetic, chemical reaction;


journal articles


Solís-Lemus C., Ané, C. 2016. PhyloNetworks: Julia package for inference and manipulation of phylogenetic networks. Submitted.

Solís-Lemus C., Ané, C. 2016. Inferring phylogenetic networks with maximum pseudolikelihood under incomplete lineage sorting. PLoS Genetics, arxiv

Solís-Lemus C., Yang, M., Ané, C. 2016. Inconsistency of species-tree methods under gene flow. Systematic Biology

Baum, D., Ané, C., Larget, B., Solís-Lemus, C., Ho, L.S.T, Boone, P., Drummond, C., Bontrager, M., Hunter, S., Saucier, B. 2016. Statistical evidence for common ancestry: application to primates, Evolution


Solís-Lemus C., L.L. Knowles and C. Ané. 2015. Bayesian species delimitation combining multiple genes and traits in a unified framework. Evolution

conference articles


Pimentel-Alarcón D., Biswas A., C. Solís-Lemus. 2017.Adversarial Principal Component Analysis. IEEE International Symposium on Information Theory (ISIT) PDF.


Pimentel-Alarcón D., C. Solís-Lemus. 2016. Crime detection via crowdsourcing. 8th Mexican Conference on Pattern Recognition, Springer International PDF.


Solís-Lemus, C. (2015). Statistical methods to infer population structure with coalescence and gene flow. PhD dissertation, Department of Statistics, University of Wisconsin-Madison pdf (653k)