Vienna, Vienna, Austria
As a postdoctoral scientist, I integrate multi-omics and spatial omics datasets with advanced machine learning approaches to predict disease risk and progression. Building on my expertise in biomarker discovery, genetics, and clinical research, I investigate the molecular basis of disease using both wet-lab experimentation and computational analysis. My work combines bioinformatics, high-throughput and spatial transcriptomics, and machine learning to identify predictive biomarkers and therapeutic targets, with a strong emphasis on translational applications in human health.
Postdoctoral Researcher happily back at my hometown (Málaga) after 10 years of being an expat scientist. Currently performing bioinformatic analyses with a focus on aging diseases and systemic metabolism. My analyses include Mendelian Randomization, Statistical Analyses (e.g. Deseq2) applied to Transcriptomics (Bulk, Spatial, Single Cell transcriptomics), Machine Learning Elastic Net, and other biomarker discovery methods using clinical datasets in collaboration with other institutions (Yale University, Ulm University, etc) and public databases such as GWAS catalog, UK Biobank and All of Us.
Supervisor: Dr. Kelsey Collins. Project in collaboration with Dr. Allon Wagner, UC Berkeley Project: Defining Novel Mechanisms of Aging using Osteoarthritis as a Model System, Spatial Transcriptomics and Machine Learning Analysis. Analysis of omics datasets with Elastic Net machine learning regularization, Spatial Transcriptomics analysis with a Visium HD dataset using PCA, UMAP and differential gene expression analysis.
Supervisors: Prof. Dr. Steven Cummings, Dr. Dan Evans Project: Machine Learning-based discovery of microRNA predictors of bone fracture and bone mineral density. Analysis of large genomic and high-dimensional datasets. Linear and logistic regression models, Machine Learning Elastic Net regularization.
Supervisor: Dr. Matthias Hackl Project: MicroRNA target discovery in diabetic osteoporosis RNA isolation from serum and bone tissue, RT-qPCR, PCA and correlation analysis, library preparation for small RNA next-generation sequencing (NGS) analysis, microRNA discovery for MiDeTe clinical trial (Phase IV), size exclusion chromatography, RNA and DNA quality control by Bioanalyzer, statistical and bioinformatic analysis for biomarker validation
Supervisor: Dr. Carl Weidinger First Project: Role of mesenteric fat T cells in Crohn’s disease Second Project: Role of TLR signaling in adipocytes in the context of IBD PBMC’s isolation, Bone marrow isolation from mice, primary cell culture of monocytes, MACS sorting, Macrophage-T cell co-culture, T cell proliferation assay, Flow cytometry, human fat immune cell isolation, Antigen reactive T cell enrichment (ARTE) method, intracellular cytokine staining