marcos bermejo ruiz

Ribo-seq big-data bioinformatics analysis was carried out to quantify translation via ribosome occupancy. Riboviz software was used for ribosome profiling data analysis

Using machine learning to discover relevant genetic features associated with crossover formations in DNA.

Systems biology modelling of a modified Lotka- Volterra model with intra and interspecific interactions. Multiple simulations were made to observe the behaviour of bacterial communities in this model.

Passed with distinction (GPA = 4). This master program offered an opportunity to train in one of the newer areas of biology: the application of engineering principles to the understanding, control, and design of biological networks. This approach promises solutions to some of today’s most pressing challenges in environmental protection, human health, and energy production, with applications ranging from understanding genome-wide data to designing and synthesising intracellular logic gates.

Computational biology specialization