Dr. Yanthe Pearson

Dr. Yanthe Pearson

Assistant Professor, Mathematics, Department of Applied Mathematics and Sciences

Address: P.O. Box: 127788, Abu Dhabi, UAE

Telephone: +971-(0)2-4018188

Fax: +971-(0)2-4472447

Email: yanthe.pearson@ku.ac.ae


Dr. Pearson joined the AMS department in Fall 2012 asassistant professor. In 2009, she completed her Ph.D. in mathematics at Rensselaer Polytechinc Institute (USA) with a dissertation entitled: “Discrete and Continuous Stochastic Models for Neuromorphological Data”.

Following her studies, she spent one year at New York University School of Medicine as a postdoc in the department of theoretical immunology analyzing the immune systems response to simulated viral infections in mice. In the Fall of 2010, Dr. Pearson left her position at NYU to pursue a two year postdoctoral position at the University of Maryland College park in the department of Biology to work on developing theoretical models for applications in comparative phylogenetics.

  • Habilitation Degree., Electrical Engineering, University of Coimbra (POR),  2011
  • Ph.D., Electrical Engineering, University of Coimbra (POR), 1994
  • M.Sc., Electrical Engineering, University of Coimbra (POR), 1988
  • B.Sc., Electrical Engineering, University of Coimbra (POR), 1984
  • Calculus I, II, III
  • Differential Equations
  • Probability and Statistics
  • Mathematical Biology
  • Mathematical Biology
  • Growth and differentiation of developing neurons
  • Comparative phylogenetics


  • Y.E. Pearson*, E.A. Larsen*, Cagan Sekercioglu, H.J. Lynch, E.E. Goldberg, Steven Goldstein and William Fagan (2013). Predicting the maximum per capita rate of population growth for shorebirds – a phylogenetic comparative analysis, In Preparation. *Equal contribution
  • B.F. Fagan*, Y.E. Pearson*, E.A. Larsen, H.J. Lynch, J. Turner, J. Turner, H. Staver, A.E., Noble, E.E. Goldberg (2013). Phylogenetic prediction of the per capita rate of population growth (r), Under Review, Proceedings of the Royal Society B.*Equal contribution
  • Y.E. Pearson, E. Castronovo, T. Lindsley , D.A. Drew (2013). Mathematical Modeling of Axon Formation Part II: Temporal Growth, In preparation.
  • C. Calcagno, R. Puzone, Y.E. Pearson, Y. Cheng, S.K. Selin, D. Ghersi, F. Celada (2011). Engagements of a computer simulator on heterologous immunity highlights novelty and rules of interdisciplinary cooperation. Autoimmunity, 44(4):304-314.
  • Y.E. Pearson, Y. Cheng, S.K. Selin, R. Puzone, F. Celada (2011). Systematic simulation of crossreactivity predicts ambiguity in Tk memory: it may save lives of the infected, but limits repertoires vital for further responses. Autoimmunity, 44(4):315-327.
  • Y.E. Pearson, D.A. Drew, E. Castronovo, T. Lindsley (2010). Mathematical modeling of axon formation Part I: Geometry. Bull. Math Biol., 73:2837-2864.
  • Y.E. Pearson, D.A. Drew, E. Castronovo, USA, May 19 – 21 (2008). Modeling and Analysis of Axonogenesis, Random Spatial Network Perspective. Frontiers in Applied and Computationsl Mathematics Proceedings, New Jersey Institute of Technology.

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