Bioclinical and Machine Learning Spectroscopy Research
University of Valencia
We use IR and Raman spectroscopy and chemical imaging to acquire label-free molecular fingerprints for quantification and spatially resolved monitoring of complex biological and chemical systems.
Employing LC-MS, we profile small molecules to map metabolic states and biochemical pathways, supporting mechanistic insight and biomarker discovery across health, disease, and experimental models.
We develop and validate analytical methods for biological and clinically relevant samples, focusing on reliability, transferability, and quantitative performance in real-world conditions.
We build reproducible pipelines to extract information from spectra and omics data, developing predictive models and interpretable features to support robust decision-making.
We build reproducible pipelines to extract information from vibrational spectra and omics data, developing predictive models and interpretable features to support robust decision-making.
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