INANTRO
Lab for Chemical
& Biomedical Informatics

— Graduate and postgraduate

Teaching chemistry and health computing.

Graduate and postgraduate education in cheminformatics, machine learning, and applied statistics.

Topics

01 / Curriculum
001

Systems biomedicine

Integrative modeling of biological systems across omics layers, from molecule to phenotype.

002

Bioinformatics

Sequence, structure, and pathway analysis pipelines for genomics and metagenomics data.

003

AI in life sciences

Applied machine learning for biomedical and exposome data, taught at the master's level.

004

Clinical decision making

Data-driven models to support diagnosis, risk stratification, and treatment decisions.

Supervision

02 / Students

The lab supervises doctoral and master's students across topics in cheminformatics, biomedical data science, and the exposome. Prospective students are welcome to get in touch.

Want to cooperate?

03 / Contact