I work with applied chemistry and development projects that combine experimental work with chemometrics, design of experiments and machine learning. My focus is on using chemical knowledge and data to identify relevant experiments, understand relationships and develop more sustainable chemical products and processes.
I hold an MSc in Chemical Engineering and an industrial PhD in Nanoscience, with experience in organic chemistry, polymer chemistry and electrochemical sensors. My work has included the development of N₂O sensors, greener solvent selection and photochemical synthesis methods.
My teaching philosophy is based on dialogue and partly on Kolb's learning cycle. I am a strong advocate for problem-based learning, where students learn to solve complex, real-world problems. I teach subjects including engineering courses and organic chemistry, as well as the application of statistical and machine learning methods to chemical problems. I supervise semester- and BEng graduation projects, as well as serve as an external examiner for BSc/MSc theses and BEng graduation projects.
