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Ioannis graduated with a Diploma in Applied Mathematics from the National Technical University of Athens, Greece in 2009 and received his PhD from Duke University in 2014. Subsequently, Ioannis completed an independent Postdoctoral Fellowship in the National Institute for Mathematical and Biological Synthesis at the University of Tennessee, Knoxville. He jointed the Center for Biological Physics at ASU in 2017.
Ioannis is interested in modeling and inference in biological systems. His research combines methods from Mathematical Biology and Data Analysis to characterize complex mechanisms arising in Biophysics and Biomedicine. In his work, Ioannis develops large scale computational models and uses deterministic and stochastic simulations to analyze their behavior. Within a truly interdisciplinary context, Ioannis' research lies between Mathematics, Statistics, Computing and Bioengineering.
Data analysis: biophysics, biochemistry, super-resolution microscopy, confocal microscopy, photo-physics, single molecule experiments, Förster resonance energy transfer, force spectroscopy
Computational statistics: inverse models, Bayesian non-parametrics, Markov chain Monte Carlo, non-linear filtering,
tracking, topological data analysis, image processing, data assimilation
Mathematical biology: forward models, large scale models, mechanistic models, biomedicine, pathology, developmental biology, renal (patho-)physiology, hemodynamics, autoregulation, hypoxia, cardiac surgery, muscle contraction
Computational fluid dynamics: fluid-structure interactions, immersed interface methods