I am currently a systems engineer with a background in engineering, computer science, and neuroscience. I received my PhD in neuroscience from George Mason University in 2015, having been a research assistant at the Krasnow Institute for Advanced Study of George Mason University, working with Dr. Giorgio Ascoli in the Computational Neuroanatomy Group. My research was on using bioinformatics techniques to analyze large amounts of neuron morphological data made available by NeuroMorpho.Org, as well as improving the process of automating neuronal reconstruction (see BigNeuron). My core interests in neuroscience are focused around biological neural computation, in real brains and applied to hardware and algorithms (neuromorphic engineering and computing).
Learn more about me and my research at tgillette.onair.cc.
I am also helping to expand neuroscience communication within the scientific community and out to the public, by developing and curating on the Neuroscience Knowledge Network, via OnAir Networks.
Over the past few years I have also taken a particular interest in physics and particularly grand unified theories. I prefer building intuition with analogies and visualization, and math when it is accompanied by sufficient annotation. I feel that some Wikipedia articles do a fantastic job at describing phenomena and what the math means, while others make excessive assumptions about the background knowledge of the reader making the article nearly useless for those without that specific knowledge.
Additional interests include leadership, communication, and systems in applications towards improving society. In particular, I am interested in improved electoral and governmental systems that engage citizens and are robust and resilient in the face of attempted manipulation and corruption.
Follow me on Twitter @ToddNeuro.
View my LinkedIn profile.