• Development of the advanced methods of chemometrics, statistics and computational chemistry to extract useful information from multivariate experimental data
• Development of the universal protocols for obtaining experimental data useful for computational modeling
• Development of the Quantitative Structure – Activity/Property Relationships (QSARs/QSPRs) models of toxicity, toxicokinetics and physico-chemical endpoints of nanoparticles
• Development of the Quantitative Structure – Property Relationships (QSPRs) models to predict the environmentally relevant physico-chemical properties of Pharmaceuticals and Personal Care Products (PPCPs).
• Development of the Quantitative Structure – Property Relationships (QSPRs) models to predict the physicochemical properties of ionic liquids
• Modeling transport processes in the environment of selected chemicals based on the combination of the quantitative methods of modeling the relationship between chemical structure and properties and multimedia fate models
• Comprehensive risk assessment for new substances