Dr Daniel Galvis PhD

Daniel Galvis

Department of Metabolism and Systems Science
SMQB Centre Fellow

Contact details

Email
d.galvis@bham.ac.uk
Twitter
@D_E_Galvis
Address
Centre for Systems Modelling and Quantitative Biomedicine
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK
Episode 2: The Geometry of Dynamics

Dr Galvis is a biomathematician focussed on the development of mathematical models for understanding neuroendocrine systems in health and disease. He is particularly interested in modelling biological rhythms and responses to perturbations (e.g., the HPA axis), as well as in the study of how collective dynamics emerge in heterogeneous networks (e.g., beta-cell networks). His work is typically focussed on data-driven mathematical modelling, which requires application of time-series analysis, network analysis, and machine learning methods. 

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Qualifications

  • Postdoctoral Research Fellow, University of Birmingham, 2020 - present
  • Postdoctoral Research Fellow, University of Exeter, 2018 – 2020
  • Doctor of Philosophy, Biomathematics, Florida State University, 2018

Biography

Dr Galvis received his PhD from Florida State University in 2018 while working on the neuronal networks involved in adult birdsong production. After completing his PhD, he moved to the University of Exeter, where he began working on the development of biomarkers for epilepsy surgery using MEG data. Since moving to the University of Birmingham in 2020, Daniel has developed mathematical models to study neuroendocrine systems including the HPA axis and pancreatic beta-cell networks.

Research

Current projects

  • Development and analysis of mathematical models for understanding stress-hormone rhythms in health and disease
  • Simulation and numerical analysis of network dynamical systems with applications to pancreatic beta-cell networks
  • Development of neural network models to study directed forgetting in human brains
  • Development of data-analytic tools to study how the brain and body coordinate through rhythm in the practice of DJing
  • Development of a mathematical model to study the role of efflux-pump kinetics in governing antimicrobial drug accumulation dynamics

Publications

D Galvis, W Wu, RL Hyson, F Johnson, R Bertram, Interhemispheric Dominance Switching in a Neural Network Model for Birdsong, Journal of Neurophysiology, 120:3:1186-1197, 2018.

D Galvis, W Wu, RL Hyson, F Johnson, R Bertram, A Distributed Neural Network Model for the Distinct Roles of Medial and Lateral HVC in Zebra Finch Song Production, Journal of Neurophysiology, 118.2:677-692, 2017.

D Galvis, D Walsh, L Harries, E Latorre, J Rankin, A dynamical systems model for the measurement of cellular senescence. 16. Journal of the Royal Society Interface, 2019. http://doi.org/10.1098/rsif.2019.0311.