Academic interests
I work with research, teaching and disciplinary development in chemistry, with a particular emphasis on modelling, representation and conceptual understanding in physical, biochemical and biophysical chemistry. A central focus is how computational methods and simulations can be used to explore and describe physical and biochemical phenomena, and the conceptual challenges that arise in such systems. In this work, I investigate how complex chemical concepts are analysed, interpreted and operationalised, particularly through computational chemistry and artificial intelligence.
In addition, I am interested in experimental and computational approaches to physical and biochemical processes in soft matter, especially lipids and proteins. This includes an interest in how laboratory techniques such as confocal microscopy, TIRF, surface-specific methods and microfluidics can be combined with molecular dynamics, QM/MM and machine learning to describe processes on and within surfaces, membranes and small biomolecular systems.
My main areas of interest can be summarised as follows:
- Chemical representation and conceptual knowledge: Cognitive and epistemic models related to physical and biochemical chemistry, with an emphasis on sensemaking and modelling.
- Nanobiochemistry and soft materials: Lipids, liposomes, proteins and membranes.
- Combined simulation and experiment: Physical and chemical processes on surfaces and in biomolecules.
- Disciplinary teaching and development: Chemically grounded instructional design and methodology.
Teaching
- IN-KJM1900 - Programming for Chemists
- KJM1140 - Biochemistry 1
- KJM1003 - Chemistry for Biologists
- NAT3000 - Scientific Programming in School
- ProFag:VGS - Programming and Generative AI for Teachers
- NAT4030 – General Science 2: Chemical Reactions, Radiation and Scientific Practices
- NAT4040 – General Science 2: Carbon Compounds, Climate, Evolution, Ecology, and Scientific Practices