Jaime Gomez-Ramirez

Jaime Gomez-Ramirez

Professor, Scientist and Engineer

European Commission. JRC. Centre for Advanced Studies, Science and Art

Biography

Jaime Gomez-Ramirez is a Scientific Project Officer at the European Commission's Joint Research Center, Centre for Advanced Studies.

He is professor at Universidad Complutense de Madrid and Visiting Professor at the University of Turin, Italy. He completed his postdoctoral training in Japan at the Biomedical Engineering Laboratory, Okayama University, the USA at the Centre for Sleep and Consciousness, University of Wisconsin-Madison and Canada at The Sickkids Hospital, Department of Neuroscience & Mental Health, University of Toronto.

Jaime Gomez-Ramirez is a scientist with experience in the Private Sector IT and in allocation of R&D funding and advising governamental and private bodies in funding innovative science.

Professor Gomez-Ramirez research is focused on multi-scale mathematical modelling of complex systems, specifically brain networks. An original aspect of his work is the use of Category Theory in brain connectivity. Working as a computational neuroscientist, he is interested in foster our understanding of brain networks dynamics that what they tell us about brain healthy aging. He has a broad training as a experimental and clinical neuroscientist in neuroimaging (fMRI) and electrophysiology (iEEG).

Gomez-Ramírez is also interested in the Social Sciences, in particular Economics. Complexity science is likely to transform our understanding of Economics and the markets viewed and modeled as Complex Adaptive Systems. Both Science and Art are human attempts to understand the world around us. Although the traditions, “languages” and methods differ, the motivations and goals are fundamentally the same. We may be closer than ever to bringing together the interdisciplinary gap between art and science, also known as the two cultures.

Interests

  • Longevity, Digital Health, Deep Medicine
  • Complex Resilient Systems
  • Science for Policy

Education

  • PhD in Robotics, 2010

    Universidad Politecnica de Madrid

Teaching

  • Universidad Complutense de Madrid
    • Signal Processing
    • Robotics
  • Universidad Pontificia de Comillas (ICAI)
    • Kinetics and Dynamics of Modeling of Industrial Robots
    • Intelligent Robots (Programming and simulation)
  • Universita degli Studi di Torino (Scuola di Studi Superiori)
    • Neuroimaging of pain using fMRI

Recent Posts

Better relevant than right

When George Box famously said “All models are wrong, some are useful”, he forgot to mention that some can also be harmful. The book The Drunkard’s Walk by the physicist Leonard Mlodinow, tells the story of the OJ Simpson trial.

Projects

Journal of Mind Theory

AI, Mind and Brain

Topological Data Analysis

AI, Mind and Brain

Brain

Brain modeling

Epistemology

Probability and Causality

Resiliency

Resilient systems

Invited Talks

The promises and perils of AI: taking chances to bridge the gap between policy makers and takers. EUI 2022

Cassandras voicing about the perils of AI to democracy abound. It exists though a real danger that technology stiffens the increasing …

The unreasonable effectiveness of mathematics, revisited. Big data and neuroscience. KAIST, 2018

The physicist Eugene Wigner in “The unreasonable effectiveness of mathematics in natural science” observed that the appropriateness of …

Publications

An epidemiological model for mosquito host selection and temperature-dependent transmission of West Nile virus

We extend a previously developed epidemiological model for West Nile virus (WNV) infection in humans in Greece, employing …

Host selection and forage ratio in West Nile virus–transmitting Culex mosquitoes: Challenges and knowledge gaps

To date, no specific therapy or vaccination is available for West Nile virus (WNV) infections in humans; preventive strategies …

A Causal Analysis of the Effect of Age and Sex Differences on Brain Atrophy in the Elderly Brain

We studied how brain volume loss in old age is affected by age, the APOE gene, sex, and the level of education completed. The …

Prediction of Chronological Age in Healthy Elderly Subjects with Machine Learning from MRI Brain Segmentation and Cortical Parcellation

Normal aging is associated with changes in volumetric indices of brain atrophy. A quantitative understanding of age-related brain …

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