Hola!
I'm a Mexican scientist who is currently working as a computational biologist at the Boehringer Ingelheim in Biberach an der Riß, Germany.
Here you will find details about me, my work, my research and personal interests.
GPA: 4.00/4.00
Dissertation title: Exploitation of complex network topology for link prediction in biological interactomes
Advisor: Prof. Timothy Ravasi
GPA: 3.37/4.00
Research focus: Computational Biosciences
GPA: 9.55/10.00
Dissertation title: Application of self-organising maps to the protein folding problem
Advisor: Prof. Jorge Rosas-Trigueros
Application of machine learning, network science and systems biology tools to the drug discovery pipeline.
Integration of diverse omics data and use of machine learning, network science and systems biology tools for mapping and inspection of the protein and gene networks that confer an identity to the different cell types that emerge during embryonic development.
Integration of protein interaction data, analysis of the latent geometry of the human protein interaction network, bias reduction in protein network datasets, development of bioinformatic web tools and teaching of the Network Biology section for the course Proteinbiochemie und Bioinformatik.
Application of pattern recognition techniques to investigate the differences between gene expression profiles of human skeletal muscle cells from healthy and Duchenne Muscular Dystrophy patients.
Explored different data integration approaches for the construction of a reliable human genetic interaction network.
Studied the role of low-complexity regions in the correct folding of P. falciparum’s proteins by means of molecular dynamics tools such as VMD. These analyses are important for drug design against malaria.
- Administered the Server Resource Manager tool in the servers of >5 IBM clients, which allowed IBM to comply with the service level agreement contracted by these clients.
- Administered the Virtual Server Administration tool in the servers of a couple of IBM clients, which allowed for remote server administration of IBM software in client machines.
- Developed the Patient Classification System and trained medical staff in its use. This improved the attention of the >100,000 patients that visit the hospital annually.
- Provided training to >20 administrative employees and medical staff in Office tools and medical software, making them more updated and competent personnel.
- Started the development of the current Surgery Scheduling System that serves the >9,000 patients that undergo surgery in the hospital annually.
Nature 587(7834), 443-447
Nature 587(7834), 443-447
Using bioinformatics and functional analyses, we found that the human, cow and mouse placenta gets specified way before the embryo proper itself.
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Nucleic Acids Res. 45(D1), D408-D414
Nucleic Acids Research 45(D1), D408-D414
HIPPIE v2.0 is the one-stop resource for the generation of highly reliable, context-specific human protein networks.
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Applied Network Science 1(10)
Applied Network Science 1(10)
We propose a method that combines manifold learning and maximum likelihood estimation for efficient and accurate hyperbolic network embedding.
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Frontiers in Genetics 6(296)
Frontiers in Genetics 6(296)
A review of topological protein interaction predictors, resources of high quality protein interactions and example uses of protein interaction networks to better understand human diseases.
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Bioinformatics 29(13), i199-i209
Bioinformatics 29(13), i199-i209
We propose a novel non-linear dimensionality reduction approach for the topological prediction of protein interactions.
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A web tool to generate reliable and meaningful mouse protein-protein interaction networks.
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The Human Integrated Protein-Protein Interaction rEference v2.1, a web tool to...
A web tool to generate reliable and meaningful human protein-protein interaction networks.
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A web tool for the geometric analysis of the human protein interaction network.
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Tools for the generation, analysis and visualisation of complex networks in hyperbolic space.
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Gene Ontology and REACTOME Pathway enrichment analyses for genes of interest.
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Tools for the analysis, visualisation and filtering of complex undirected weighted networks.
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Implementation of different classes of link predictors and methods to assess and visualise their performance.
Visit repositoryNetwork growth models; complex network geometry; network structure, formation and evolution; multilayer networks.
Embryonic development; stem cells; network medicine; complex diseases; bias in biology; functional and disease ontologies; genetic and epigenetic regulation of gene expression.
Data mining; non-linear dimensionality reduction; manifold learning; parameter-free classification and clustering.
tidyverse; pandas; mlr; tidymodels; scikit-learn; igraph; Matplotlib; Gephi; LaTeX; Overleaf; git; GitHub; statistics.
I'm readaholic... Every night, before going to bed, I read some chapters of the book in turn (thrillers, popular science and history are my favourites). Every morning, before starting the work of the day, I read the news and check my Twitter feed.
I love sports! Especially the field events in Track & Field, like Discus Throw and Shot Put. In fact, I was part of an athletics club and represented my state as a Discus Thrower in the National Olympic Games in Mexico, where I won the silver medal.
Travelling to other countries and having the opportunity to experience and learn from other cultures is one of the most enriching things there are. I've been to 39 different countries, and I'm eager to visit the next one.
I don't have much time to play video games anymore, but I always try to invest those weekend, spare hours in a good and challenging video game.
Whisky sour, Old-fashioned, Manhattan, John Collins, Mint Julep, Pickleback, Lynchburg Lemonade; Martini, Gin and Tonic, Gimlet, Negroni, New Orleans Fizz, Singapore Sling, Floradora...
