
معرفی
Anna Duncan is a tenure track assistant professor in the Department of Chemistry at Aarhus University's Faculty of Natural Sciences. Her research focuses on computer modeling of biological membranes and membrane proteins to understand their functional dynamics. She began her position in 2022 and is currently establishing her independent research group after transitioning from a postdoctoral role.
- Undergraduate Degree in Mathematics – University of Oxford
- Master's Degree in Cheminformatics – University of York
- PhD – University of Cambridge
- Postdoctoral Research – University of Oxford
Anna's research lies at the intersection of chemistry, biology, and computational science. She uses advanced simulation techniques to study how lipids and proteins interact within biological membranes. Her interdisciplinary background enables her to approach complex biophysical questions with mathematical rigor and data-driven methods. She emphasizes curiosity-driven research and aims to contribute knowledge for the public good.
Although no publications are listed in the provided text, her work is expected to fall within computational biophysics, focusing on membrane organization, protein-lipid interactions, and dynamic cellular processes. Future outputs will likely involve molecular dynamics simulations and multiscale modeling approaches.
Anna values mentorship, collaboration, and work-life balance in academia. She encourages early-career researchers to follow their interests, embrace new opportunities, and seek supportive mentors. While no formal awards or grants are mentioned, her training at leading institutions and successful transition to a tenure-track role reflect strong recognition of her potential.
She is currently on parental leave but remains actively engaged in building her research team. The Department of Chemistry at Aarhus University has provided significant logistical and professional support during her relocation from England, helping her integrate into both the academic and personal environment in Denmark.



