Carlos Talavera-López

I’m a Nicaraguan computational clinician working at the Institute of Computational Biology, part of Helmholtz Munich, Germany. In my team we combine spatially-resolved single cell data with machine learning methods to dissect the cellular processes that govern cell-cell interactions in health and disease, and how we can use them as accessible diagnostic biomarkers. Currently we are studying the effects of Tuberculosis, COVID-19 and HIV on the cardiovascular system.

Institute of Computational Biology - Helmholtz Zentrum München / Group leader

May 2021 - Onwards, Munich, Germany

I am the lead of the Computational Immunobiology lab at the Institute of Computational Biology (ICB). My group focuses on the study of cellular circuits during the inflammatory response to infection and inflammation using a combination of spatially-resolved single cell multiomics and clinical records, and machine learning methods. We aim at translating cellular circuits to the clinic to provide novel ways to diagnose and monitor the progress of disease and the response to treatment.

Wellcome Sanger Institute and EMBL-EBI / Postdoctoral fellow
September 2018 - May 2021, Cambridge, United Kingdom

Working in Sarah Teichmann’s lab with large scale, multi-omics single cell datasets and artificial intelligence methods, and being opinionated about it. My research interests include the transcriptional regulation of the adult human heart, myeloid immune cells and their interaction during heart injury repair. I also collaborated in the deployment of state-of-the-art single cell analysis tools for the Human Cell Atlas web portal at EMBL-EBI.

On September 2020 we published the single cell atlas of the human heart in Nature.

The Francis Crick Institute / Postdoctoral fellow
September 2016 - September 2018, London, United Kingdom

I worked in the Malaria immunology laboratory using machine learning methods applied to RNA-Seq and proteomic data, as well as publicly available datasets, to study the immunological processes involved during malaria infection in a mouse model with Plasmodium chabaudi.

London School of Hygiene and Tropical Medicine / Visiting researcher
June 2015 - September 2016, London, United Kingdom

I worked with Michael Miles at the LSHTM on genome analysis of Leishmania Spp. and Trypanosoma cruzi hybrids. I also worked in the development of diagnostic tools for Strongyloides spp. using proteomic and genomic public datasets.

Karolinska Institutet / Ph.D student
March 2012 - September 2016, Stockholm, Sweden

I studied genomic variation in clinical and field isolates of Trypanosoma cruzi with Bjӧrn Andersson at the Department of Cell and Molecular Biology. I also worked in the development of analysis pipelines for single cell RNA-Seq of immune cells with statistical learning methods with Jonas Frisén. I also assembled and annotated the Pleurodeles waltl genome, used as a model for regeneration with András Simon. ibrary preparation.

Science for Life Laboratory (SciLifeLab) / Bioinformatician
January 2011 - March 2012, Stockholm, Sweden

I worked as a bioinformatician for the Spruce Genome Consortium testing and developing assembly methods for large genomes and comparative genomics of conifers.

Computational BiologyInfectionInflammationImmunologyMachine LearningBiomarkersDiagnosticsTranslational