I was a postdoc in the Complexity Science Group between 2010 and 2013. While I remain associated with the Complexity Science Group as a Visitor, I am now a Postdoctoral Researcher in Bruce McNaughton's Polaris Group for Brain Dynamics and Majid Mohajerani's Optical Brain Imaging Group at the Canadian Centre for Behavioural Neuroscience at University of Lethbridge where I my research continues to focus around all aspects of Big Data Analysis with a particular interest in extracellular single unit recordings (tetrodes, silicon probes) to understand, for instance, hippocampal memory formation, consolidation, and retrival, and in pattern recognition algorithms for optical brain imaging data (voltage sensitive dye imaging, 2-photon calcium imaging using optogenetics and DREADDs - Designer Receptor Exclusively Activated by Designer Drugs) in behaving rats and mice
My research interests include (among others) statistical physics, time series analysis, time series based functional network analysis, and extreme value statistics, and their applications in medicine and the neurosciences (, but also in geophysics, and finance). I am particularly interested in the development of new multivariate analysis and dynamical functional network analysis methods and their applications in sleep research, physiology, and human cardiology (, as well as, in earthquake and climate modeling).
The beauty of my field of interest -- that we often summarize by the term complexity science -- is its strong interdisciplinarity, allowing me to collaborate with other scientists of diverse backgrounds and with very different fields of interest. As it turns out, many well established and newly developed statistical methods that were originally designed to study, for instance, river runoff data can be directly applied (or modified to be applicable) to data from human physiology (e.g. heartbeat).