Eder is a physicist with a great passion for mathematical biology and biomedicine. While at graduate school at CINVESTAV, Mexico, his research interests revolved around mathematically modelling signalling pathways and gene regulatory networks, focusing on understanding how the topology of these networks influences their dynamics and robustness against noise. During his MSc in Engineering and Biomedical Physics, Eder developed mathematical models of self-regulated gene circuits, exploring how negative and positive regulatory feedback loops affect bacterial phenotypes. While doing his PhD in Molecular Biomedicine, he developed a mathematical model of a somitogenic regulatory network that considers the interactions between antagonistic gradients and genetic clocks that embryonic cells use as spatiotemporal cues to achieve robust, irreversible commitment to a developmental fate.
Later, while at the Okinawa Institute of Science and Technology (OIST) in Japan, Eder investigated non-classic stochastic effects in gene expression and used advanced computational tools to simulate these processes at the single gene level. He also performed spatial stochastic simulations of asymmetric protein segregation in yeast and developed a Delayed Stochastic Simulation Algorithm with cell division (DSSAcd) to explore cell cycle effects in feedback-regulated gene circuits.
In 2015, Eder switched fields to apply his skills to the field of neuroendocrinology at the University of Exeter, working alongside professors John Terry and Stafford Lightman (FRS). Since then, Eder’s work has focused in developing a mathematical understanding of hormone dynamics in health and disease. This work lead to him securing an MRC Skills Development Fellowship to further his own research plans.