Computational biology can be defined as a transdisciplinary research field that uses fundamentals from mathematics, physics, chemistry and biology to produce computational models for the study of various biological phenomena. Like any scientific discipline based on data (big data), its advances are strongly linked to the development of computational sciences, particularly in the area of high performance computing (HPC).

Today, computational biology incorporates a variety of fields including, among others, genomics and bioinformatics, molecular modeling and simulation, network theory, machine learning and artificial intelligence, and population dynamics.

The Program places special emphasis on transdisciplinarity, and from this approach seeks to study and provide solutions to problems in the life sciences, social sciences and exact sciences.

In addition to the laboratories of the Science and Life Foundation, it offers the possibility of interacting and carrying out their theses in the research laboratories of some of the biotechnology companies located on our campuses.

During their time in the Program, students will acquire skills that will allow them to identify important questions in the most basic aspects of the disciplines as well as in their medical and environmental applications, formulate and develop research projects, critically read scientific literature, effectively communicate their own findings and ideas, and insert themselves in academia, as well as in the public and private sectors.

The PhD program in Computational Biology is framed within the following lines of research:

1. Computational Neuroscience, Data Science and Artificial Intelligence.
2. Computational biophysics of macromolecular systems.
3. Genomic biology, bioinformatics and biological networks.

Computational biology can be defined as a transdisciplinary research field that uses fundamentals from mathematics, physics, chemistry and biology to produce computational models for the study of various biological phenomena. Like any scientific discipline based on data (big data), its advances are strongly linked to the development of computational sciences, particularly in the area of high performance computing (HPC).

Today, computational biology incorporates a variety of fields including, among others, genomics and bioinformatics, molecular modeling and simulation, network theory, machine learning and artificial intelligence, and population dynamics.

The Program places special emphasis on transdisciplinarity, and from this approach seeks to study and provide solutions to problems in the life sciences, social sciences and exact sciences.

In addition to the laboratories of the Science and Life Foundation, it offers the possibility of interacting and carrying out their theses in the research laboratories of some of the biotechnology companies located on our campuses.

During their time in the Program, students will acquire skills that will allow them to identify important questions in the most basic aspects of the disciplines as well as in their medical and environmental applications, formulate and develop research projects, critically read scientific literature, effectively communicate their own findings and ideas, and insert themselves in academia, as well as in the public and private sectors.

The PhD program in Computational Biology is framed within the following lines of research:

1. Computational Neuroscience, Data Science and Artificial Intelligence.
2. Computational biophysics of macromolecular systems.
3. Genomic biology, bioinformatics and biological networks.