The research will focus on methodologies that enable circular and sustainable processing of chemicals, materials and products. We aim to impact the production and consumption by reducing resource-use and waste-generation. 

• Less consumptive processes for CO₂ neutral materials/chemicals/products
• Benign-by-design materials, concepts for essential chemicals use
• Use of CO₂ as a raw material, for example CO₂ conversion to H₂ and methanol
• Energy from biomass
• Recycling/upcycling of wastes and side streams
• Resource efficient and zero waste processing
• Hazard and risk screening during processing/use /end-of-life
• Using and developing new methodologies for evaluating environmental foot-print
• Environmental law and policy, standards related to circular processes

Transdisciplinary research on development of circular systems through design optimization and decision making using digital tools. Using artificial intelligence as machine learning tools for hazard evaluation and screening as well as and validation of performance. We also aim to establish processes for data management, data curation, data storage and data sharing and contribute to the development of standards.

• Machine learning for toxicity screening
• AI for organic chemistry
• Material informatics
• Machine learning for design optimization
• Social aspects on AI 

We work on transdisciplinary research integrating system understanding, development and validation of circular solutions for sustainable food and water, including blue economy. 

• Identifying new challenges in circular food and water systems
• Biomass management for food, feed and energy (agricuitural waste, food waste, marine waste) 
• Sustainable pesticide and fertilizer use 
• Managing and utilizing water as a limited resource, including sustainable water treatment solutions
• Water splitting, photocatalytic chemistry including theoretical aspects
• Circular nutrient flow, nutrient recovery