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Doctorado en Biología Computacional

  • Postal address

    Chile

Organization profile

Organization profile

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.

Organization profile

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.

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):

  1. SDG 1 - No Poverty
    SDG 1 No Poverty
  2. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger
  3. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  4. SDG 4 - Quality Education
    SDG 4 Quality Education
  5. SDG 5 - Gender Equality
    SDG 5 Gender Equality
  6. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  7. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  8. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  9. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  10. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities
  11. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  12. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  13. SDG 13 - Climate Action
    SDG 13 Climate Action
  14. SDG 14 - Life Below Water
    SDG 14 Life Below Water
  15. SDG 15 - Life on Land
    SDG 15 Life on Land
  16. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

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