Spectrometry and Machine Learning Group
Bioclinical and Machine Learning Spectroscopy Research
University of Valencia
SPECML-UV
We are a team of researchers from the SOLINQUIANA group (Department of Analytical Chemistry, Universitat de València). We develop analytical methods that integrate spectrometry/spectroscopy with machine learning to extract chemical information from complex samples.
Our main research interests include:
Vibrational spectroscopy
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.
Metabolomics
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.
Data analysis & machine learning
We develop and validate analytical methods for biological and clinically relevant samples, focusing on reliability, transferability, and quantitative performance in real-world conditions.
Analytical services & technology transfer
We build reproducible pipelines to extract information from spectra and omics data, developing predictive models and interpretable features to support robust decision-making.
Clinical & biomedical translation
We build reproducible pipelines to extract information from vibrational spectra and omics data, developing predictive models and interpretable features to support robust decision-making.
Contact
Contact Us
- Address: Edificio Jeronimo Muñoz,
- Doctor Moliner, 50
- 46100 Burjassot, Valencia
- Email: specml@uv.es