Ambrosio Torres Galvis

Publications

• Garzón-Orduña, I., Brower, A.V.Z., Joele, F., Torres, A. (submitted). Beyond Completeness: addressing missing data patterns in UCE datasets.
• Torres, A., Lee, L., Srivathsan, A., Meier, R. (2025). UITOTO: a new software for molecular diagnoses in species descriptions. bioRxiv. https://doi.org/10.1101/2025.03.26.645453
• Grams, M., Torres, A., Wirkner, C.S., Richter, S. (2025). A new morphological phylogeny of Malacostraca comparing the application of character dependencies and implied weighting. Cladistics, in press. https://doi.org/10.1111/cla.12611
• Amorim, D.S., Oliveira, S.S., Balbi, M.I.P.A., Ang, Y., Torres, A., Yeo, D., Srivathsan, A., Meier, R. (2024). An integrative taxonomic treatment of the Mycetophilidae (Diptera: Bibionomorpha) from Singapore reveals 115 new species on 730 km². Integrative Systematics: Stuttgart Contributions to Natural History, in press. https://doi.org/10.1101/2023.09.02.555672
• Goloboff, P.A., Catalano, S.A., Torres, A. (2022). Parsimony analysis of phylogenomic datasets (II): evaluation of PAUP*, MEGA and MPBoot. Cladistics, 38(1), 126-146. https://doi.org/10.1111/cla.12476
• Torres, A., Goloboff, P.A., Catalano, S.A. (2022). Parsimony analysis of phylogenomic datasets (I): scripts and guidelines for using TNT (Tree Analysis using New Technology). Cladistics, 38(1), 103-125. https://doi.org/10.1111/cla.12477
• Torres, A., Goloboff, P.A., Catalano, S.A. (2021). Assessing topological congruence among concatenation-based phylogenomic approaches in empirical datasets. Molecular Phylogenetics and Evolution, 161, 107086. https://doi.org/10.1016/j.ympev.2021.107086
• Blotto, B.L., Lyra, M.L., Cardoso, M.C.S., Rodrigues, M.T., Dias, I.R., Marciano-Jr, E., Vechio, F.D., Orrico, V.G.D., Brandão, R.A., Assis, C.L., Lantyer-Silva, A.S.F., Rutherford, M.G., Gagliardi-Urrutia, G., Solé, M., Baldo, D., Nunes, I., Cajade, R., Torres, A., Grant, T., Jungfer, K.-H., Silva, H.R., Haddad, C.F.B., Faivovich, J. (2021). The phylogeny of the Casque-headed Treefrogs (Hylidae: Hylinae: Lophyohylini). Cladistics, 37(1), 36-72. https://doi.org/10.1111/cla.12409
• Goloboff, P.A., Torres, A., Arias, J.S. (2018). Weighted parsimony outperforms other methods of phylogenetic inference under models appropriate for morphology. Cladistics, 34(4), 407-437. https://doi.org/10.1111/cla.12205
• Goloboff, P.A., Torres, A., Arias, J.S. (2018). Parsimony and model-based phylogenetic methods for morphological data: comments on O'Reilly et al. Palaeontology, 61(4), 625-630. https://doi.org/10.1111/pala.12353
• Catalano, S.A., Torres, A. (2017). Phylogenetic inference based on landmark data in 41 empirical data sets. Zoologica Scripta, 46(1), 1-11. https://doi.org/10.1111/zsc.12186
• Torres, A., Miranda-Esquivel, D.R. (2016). Wing shape variation in the taxonomic recognition of species of Diachlorus Osten-Sacken (Diptera: Tabanidae) from Colombia. Neotropical Entomology, 45(2), 180-191. https://doi.org/10.1007/s13744-015-0350-1
   

Curriculum Vitae

• 2023 – Present Research scientist. Center for Integrative Biodiversity Discovery (CIBD), Museum für Naturkunde, Berlin, Germany
• 2016 – 2022 Ph.D. in biological sciences – Research scholar. Facultad de ciencias naturales e Instituto Miguel Lillo, Universidad Nacional de Tucumán – Unidad Ejecutora Lillo (CONICET-FML), San Miguel de Tucumán, Argentina
• 2005 – 2015 Biologist (B. Sc.). Universidad Industrial de Santander, Bucaramanga, Colombia 

Research

As a researcher in the field of systematics, my work focuses on developing and evaluating phylogenetic methods to reconstruct the historical relationships among organisms. This includes approaches that use molecular and morphological datasets, while also incorporating modern sources of information such as genomic and morphometric data, to infer the underlying patterns of speciation and diversification. Additionally, a major part of my work involves discovering new taxa by developing innovative methods for managing and updating taxonomic databases. This is crucial for ensuring that the vast amounts of data generated from molecular and morphological studies are accurately utilized, classified, and organized. Overall, my research aims to advance our understanding of the systematics of the tree of life, providing relevant information to preserve the incredible diversity of species on Earth.