— Institute for Anthropological Research, Zagreb
We are a computational lab at the Institute for Anthropological Research in Zagreb. We combine chemical, biological and environmental measurements with machine learning to understand how the places we live in, and what we are exposed to, shape human health.
Air quality sensors, pollution modelling and indoor environments, and what they mean for health.
Metabolomics, lipidomics and microbiome data for biomarker discovery.
Interpretable models for prediction, cheminformatics and in silico toxicology.
Childhood asthma, pregnancy and endometriosis studies with clinical partners.
75+
Publications
6
Active projects
6
Team members
Evidence-based indoor air quality improvement. 18 partners, 11 countries — Scientific Director.
AI-driven air quality research and researcher exchange. 16 partners — Project Coordinator.
Metabolomic and gut microbiome biomarkers of endometriosis, with KBC Sestre milosrdnice and Poliklinika Breyer — PI.
Integrated assessment of indoor air, environmental microbiome, behavior, and human health — PI.
Building bridges for excellence in multi-omics at the Institute for Anthropological Research — Coordinator.
Climate-resilient food production, led by the Ruđer Bošković Institute. Soil microbiome sequencing and AI-based drought-risk analysis — Partner.
Project
Holobiomics Lab, our installation research project funded by the Croatian Science Foundation, started on 15 October 2026. Read more →
Secondment
Viktoria Gašparić completed a NextAIRE secondment with a project partner in Greece.
Conference
Dr. Iva Šunić attended the 8th Croatian Congress of Microbiology with International Participation, "Microbiology for a Sustainable Future", held 22–25 September at Trakošćan.
Conference
Anja Bošnjaković and Nina Karlović presented posters at EUROTOX 2026 in Vienna (13–16 September), on low-dose PAH exposure in 3D HepG2 spheroids and on indoor air pollution and lipidomic profiles in children.
Our team publishes regularly in leading international journals across toxicology, informatics, and the exposome.
2026 · Pediatric Allergy and Immunology
Skov F., Lovrić M. et al. — Early predictors of persistent childhood asthma and allergic rhinitis: a machine learning study using post-hoc explainability.
2026 · Clinical Chemistry and Laboratory Medicine
Šupak-Smolčić V., Lovrić M., Vrdoljak-Čolo I. et al. — Continuous reference curves for hematology and biochemistry analytes in pregnancy: a prospective study.
2026 · Environmental Microbiology Reports
Šunić I. et al. — The Indoor Microbiome: Sampling, Analysis and Emerging Trends.
2026 · Toxics
Lovrić Štefiček M.J. et al., Lovrić M. — Comparative Evaluation of Machine Learning Models for Residential PM1 Prediction in Zagreb (Croatia).
2026 · Cell Reports Medicine
Chen L., Brustad N., Thorsen J. et al., incl. Lovrić M. — Maternal 12-HETE is associated with childhood asthma and the responses to prenatal omega-3 supplementation.
2026 · Air
Notardonato I., Lovrić M., Avino P. — Limonene: A Resource or a Danger.
2025 · Scientific Reports
Poelzl M., Kern R., Kecorius S., Lovrić M. — Exploration of transfer learning techniques for the prediction of PM10.
2025 · Indoor Air
Račić N., Terzić I., Karlović N. et al. — VOCs and PAHs in Indoor Environments: A Review.
Head of Laboratory
Leads research in cheminformatics, machine learning, and exposome data.
INANTRO profile ↗Senior Research Assistant
Research on metabolomics, biomarker identification, and statistical modeling.
INANTRO profile ↗The lab operates within the Center for Applied Bioanthropology at the Institute for Anthropological Research in Zagreb. More about the Institute and its laboratories is on the institute's website.
More on INANTRO →Graduate and postgraduate education in cheminformatics, machine learning, and applied statistics.
Integrative modeling of biological systems across omics layers, from molecule to phenotype.
Sequence, structure, and pathway analysis pipelines for genomics and metagenomics data.
Applied machine learning for biomedical and exposome data, taught at the master's level.
Data-driven models to support diagnosis, risk stratification, and treatment decisions.
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.
EndOMICS is the lab's own internal project. With Poliklinika Breyer and KBC Sestre milosrdnice, we look for metabolomic and gut microbiome biomarkers of endometriosis.
endo.inantro.hr →We work with research groups, clinics and companies on exposome, multi-omics and machine-learning projects, and welcome students looking for a thesis topic.
