I am a graduate student at the University of Miami working in the lab of Dr. Odelia Schwartz since the Fall of 2018. My main research interests are computational neuroscience, vision, and machine learning. Some central themes of my projects have included efficient coding, sparse coding, vector quantization methods, and information theory. My work is supported by a National Science Foundation (NSF) Graduate Research Fellowship.
I recieved a B.S. in computer science with a minor in mathematics from the University of Central Florida. During my time at UCF I joined the Evolutionary Complexity Research Group headed by Dr. Kenneth Stanley (co-founder of Geometric Intelligence). We worked on his newly-proposed Real-Time Autoencoder-Augmented Hebbian Network (RAAHN) algorithm for autonomous agent control. In 2016 I worked with Dr. R. Paul Wiegand of the Institute for Simulation and Training at UCF on brain-inspired image compression. During the summer of 2017 I worked at the Princeton Neuroscience Institute in the lab of Dr. Jonathan Pillow on hierarchical and non-negative sparse coding.
Joshua A. Bowren, Justin, K. Pugh, and Kenneth O. Stanley In: Proceedings of the Fifteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE XV). Cambridge, MA: MIT Press, 2016. 8 pages.