James Kozloski joined IBM Research in May, 2001, where he has worked in the Computational Biology Center at the T.J. Watson Labs in Yorktown Heights, NY.
He leads and manages IBM's department of Computational Neuroscience and Multiscale Brain Modeling, which collaborates with researchers worldwide modeling brain function from synaptic plasticity in neural circuits to whole neural tissues, using heterogeneous supercomputing platforms. He proposed a closed-loop model of resting state brain function in a 2016 hypothesis and theory paper in Frontiers in Neuroanatomy. He devised a novel, ultrascalable Computational Neuroscience methodology and implemented it as the Neural Tissue Simulator, a high performance computing tool for detailed modeling of large scale neural tissue anatomy and physiology. The solution was published in 2011 in Frontiers in Neuroinformatics. He also helped formulate a Theory of Loop-Regulating Plasticity, published in 2010 in Frontiers in Neural Circuits. From 2004-2007, he collaborated on the Blue Brain Project, and his solution to the problem of calculating the connectome of simulated tissues was featured on the January 2008 cover of the IBM Journal of Research and Development.
James joined IBM after completing a 2 1/2 year postdoctoral fellowship at Columbia University, where he helped discover stereotyped positions of local synaptic targets in neocortex, published in Science in 2001. He received his PhD. in Neuroscience and Biomedical Graduate Studies, from the University of Pennsylvania in 1999, where his thesis described the functional neuroanatomy of a vertebrate fish auditory system and was featured on the cover of the Journal of Neuroscience. He received a B.A. from the University of Virginia in 1992, having double majored in English and Biology. From 1992-1993, prior to graduate school, he worked in the Laboratory of Human Genetics in New York City, studying the rare genetic disorder Bloom Syndrome and contributing to the discovery of the gene responsible for it.
James has coauthored more than 10 papers and 100 issued patents in areas of neuroscience, neurotechnology, and computer science. In 2010, he was named an IBM Master Inventor, and in 2017 he was inducted into IBM's Academy of Technology. In 2003, he invented recording neuronal signals to DNA using errors in oligonucleotide synthesis. In 2015, he invented an information-based exchange network based on a model of neocortical, thalamic, and basal ganglia interaction.
A printable version of his Curriculum Vitae is available here.