The Matuszyńska Lab
Computational Biology
RWTH Aachen
MISSION
We are a computational biology lab re-imagining photosynthesis for the future of sustainable agriculture and green innovation. Our mission bridges three core areas: cutting-edge research, where we design integrative models to predict plant performance under real-world stress; transformative teaching, where students gain hands-on skills in coding, systems biology, and data science through hackathons and open-source tools; and citizen science & outreach, where we connect plant modelling to solutions for climate change, urban greening, and food security. By uniting mathematics, biology, and global sustainability, we aim to inspire the next generation of scientists, partners, and citizens to join us in shaping resilient crops, smart cities, and a climate-ready future.
NEWS
Prof. Matuszyńska invited to RWTH Global Responsibility Working Group
Sharing experiences from collaborative teaching and research projects in Sub-Saharan Africa
Read onNew Preprint - When Everyone Can Build a Model: Mechanistic Inference in the Age of AI
A perspective on what grey-box models can and cannot tell us, and how causal inference and ensemble analyses help
Read onExperimental and computational analyses of KEA3-dependent photosynthetic responses uncover species-specific molecular variation
Quang Huy Nguyen's model on cross-species NPQ features
Read onInterested? Check out our news
TEACHING
Our group offers several opportunities to learn about computational biology within both bachelor's and master's programs. We are using different formats ranging from two weeks long, intensive courses to semester long lectures with exercises. We are also offering a possibility to do your internship with us! If you are interested, please contact Prof. Matuszyńska directly.
Current semester
- Lecture + Practical Photosynthetic Systems in Architecture (PhoSA)
- Lecture Biology as an Application Subject II 16.00083
- Lecture with exercise Introduction to Bioinformatics 16.00286
- Lecture Ethics in the Biosciences 16.00244
- Practical + Seminar Interdisciplinary Data Science Course 16.00017
RESEARCH COMMUNITY
