Master Student of Systems Biology
Biological systems are very complex and sometimes difficult to study. Theoretical and computational approaches here are very useful. I am interested in using those approaches, specially machine learning and artificial intelligence to understand biological systems.
- Understanding biochemical dynamical systems with a Piecewise-Linear Recurrent Neural Network (PLRNN)
Ratiometric population sensing by a pump-probe signaling system in Bacillus subtilis.
Heiko Babel, Pablo Naranjo-Meneses, Stephanie Trauth, Sonja Schulmeister, Gabriele Malengo, Victor Sourjik & Ilka B. Bischofs. Nature Communications (2020). https://www.nature.com/articles/s41467-020-14840-w
- MSc. Molecular Biosciences – Systems Biology (2019 – )
- BSc. Microbiology (2013 – 2018)