Costa Colbert
About Costa Colbert
Costa Colbert serves as the Chief Science Officer and Founder at Vue.ai and Mad Street Den, with extensive experience in neural network simulation and neuroscience research. He holds advanced degrees in Electrical Engineering, Biomedical Engineering, and Neuroscience, and has contributed to academia and industry for over three decades.
Current Role at Mad Street Den
Costa Colbert serves as the Chief Science Officer and Founder at Mad Street Den, a position he has held since 2015. In this role, he focuses on advancing artificial intelligence technologies and their applications. His leadership contributes to the company's innovative projects in the AI space, particularly in enhancing machine learning capabilities.
Current Role at Vue.ai
Since 2016, Costa Colbert has been the Chief Science Officer and Founder at Vue.ai. His work involves developing AI solutions tailored for the retail industry. He plays a pivotal role in shaping the company's scientific direction and overseeing the implementation of advanced neural network technologies.
Educational Background
Costa Colbert has an extensive educational background in engineering and neuroscience. He earned a Bachelor of Engineering Science in Biomedical Engineering from The Johns Hopkins University from 1980 to 1984. He then pursued a M.D. Ph.D. in Neuroscience at the University of Virginia from 1986 to 1993. Additionally, he completed a Postdoctoral Fellowship in Cellular Electrophysiology at Baylor College of Medicine from 1993 to 1997. He also holds a Master of Science in Electrical Engineering and Computer Science from The Johns Hopkins University, achieved between 1984 and 1986.
Previous Academic Experience
Costa Colbert worked at the University of Houston from 1997 to 2007 as an Assistant/Associate Professor in Biology and Biochemical Sciences. During his tenure, he contributed to academic research and education in the biological sciences, focusing on the intersection of biology and technology.
Research Contributions
Costa Colbert is recognized for his research on pyramidal neurons of the mammalian hippocampus and neocortex. His studies have contributed to the understanding of neural mechanisms and the functioning of both real and artificial brains, a field he has explored for over 30 years. He also built one of the first large-scale GPU-based neural network simulators in 2007, showcasing his commitment to advancing computational neuroscience.