Marta Rivera-Alba

ORCID: 0000-0002-8069-385X
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About
Contact & Profiles
Research Areas
  • Neurobiology and Insect Physiology Research
  • Insect and Arachnid Ecology and Behavior
  • Genetics, Aging, and Longevity in Model Organisms
  • Animal Behavior and Reproduction
  • Evolution and Genetic Dynamics
  • Neural dynamics and brain function
  • Advanced Thermodynamics and Statistical Mechanics
  • CCD and CMOS Imaging Sensors
  • Consumer Market Behavior and Pricing
  • Neuroscience and Neural Engineering
  • 3D Printing in Biomedical Research
  • Human Mobility and Location-Based Analysis
  • Cell Image Analysis Techniques
  • Microbial Metabolic Engineering and Bioproduction
  • Algal biology and biofuel production
  • Visual perception and processing mechanisms

Howard Hughes Medical Institute
2012-2015

Instituto Cajal
2009-2014

Consejo Superior de Investigaciones Científicas
2009-2014

Janelia Research Campus
2014

Instituto Gulbenkian de Ciência
2012

Universidad Autónoma de Madrid
2009

Optimization theory has been used to analyze evolutionary adaptation. This explained many features of biological systems, from the genetic code animal behavior. However, these systems show important deviations optimality. Typically, are large in some particular components system, whereas others seem be almost optimal. Deviations optimality may due factors evolution, including stochastic effects and finite time, that not allow system reach ideal optimum. we still expect have a higher...

10.1073/pnas.0905336106 article EN Proceedings of the National Academy of Sciences 2009-11-17

Precise and comprehensive analysis of individual consumption is key to marketers policy makers. Traditionally, people’s profiles have been approximated by household surveys. Although insightful and complete, surveys suffer from some biases inaccuracies. To compensate for those biases, we propose a new approach compute analyze consumer based on millions purchase transactions collected personal financial manager. Since this kind data sources requires analysis methods, in paper the use...

10.5220/0007832400230031 article EN 2019-01-01
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