Jonas Coelho Kasmanas
Jonas Coelho Kasmanas
Working Group Microbial Data Science
Department of Environmental Microbiology
Helmholtz Centre for Environmental Research - UFZ
Permoserstr. 15, 04318 Leipzig, Germany
Phone +55 11 95493 2664
PhD student - Double-degree in Computer Science between University of Sao Paulo (USP, Sao Paulo, Brazil) and University of Leipzig (Leipzig, Germany).
Scientific Internship - Bio-inspired computation group Department of Computer Science, Institute of Mathematical and Computer Sciences – ICMC, University of Sao Paulo – USP, Sao Carlos, Brazil.
Exchange Student - Department of Computer Science, University of Leeds, Leeds, United Kingdom
Scientific Internship - Medicinal and Computational Chemistry group, Department of Physics and Interdisciplinary Sciences, Sao Carlos Institute of Physics – IFSC, University of Sao Paulo – USP, Sao Carlos, Brazil
BSC in Physics and Biomolecular Sciences - Sao Carlos Institute of Physics – IFSC, University of Sao Paulo – USP, Sao Carlos, Brazil
I am interested in the detection o novel bio-indicators for human dysbiosis based on metagenomic samples from the human microbial Big Data. As a way of identifying the patterns of interest from the microbial Big Data, my work starts with the collection of the human metagenomic samples, and the standardization of its metadata, from public repositories. Once with the relevant dataset, my research involves the development of novel bioinformatics pipelines for the recovery of metagenome-assembled genomes from the raw metagenomic samples. The identification of the bio-indicators is then made by meta-analysis and the creation of Machine Learning classification models optimized through the development of Automated Machine Learning pipelines.
- T. Brito-Sarracino, M. Rocha dos Santos, E. Freire Antunes, I. Batista de Andrade Santos, J. Coelho Kasmanas and A. C. Ponce de Leon Ferreira de Carvalho, "Explainable Machine Learning for Breast Cancer Diagnosis," 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), Salvador, Brazil, 2019, pp. 681-686, doi: 10.1109/BRACIS.2019.00124.