Mad Street Den CEO and leadership

Anand is the CTO and founder of Mad Street Den®. A Neuroscientist & Neuromorphic engineer by training, Anand comes from a History in academia. As a postdoctoral fellow at Stanford University he was a member of the team that built Neurogrid, a neuromorphic chip that simulates a million neurons in real-time. He also designed and simulated an axon router chip, enabling structural plasticity in addition to synaptic plasticity. His professional focus since has been technical computing in the realms of pattern recognition and machine learning.

Prior to co-founding Mad Street Den®, Anand developed neural algorithms for real-world sensory classification problems in work with IBM, DARPA, and others. Anand holds a PhD degree in neuroscience from Baylor College of Medicine.

Costa is Senior VP and Chief Scientist at Mad Street Den® Labs. He is well-known internationally as an experimental and computational neuroscientist in the area of single neuron electrophysiology. He has been the principal investigator on grants from the National Institutes of Health and others to study how neurons encode and transmit information. After taking the leap from academia to industry, he built perhaps the first large-scale GPU-based neuron simulator, long before GPU's were widely used in machine learning. Subsequently, he developed advanced imaging and classification systems for the Naval Research Labs, NASA, and DHS before coming full circle to improve neuronal simulation with GPU's for NIH.

He holds MD and PhD degrees in neuroscience from the University of Virginia along with biomedical engineering, electrical engineering and computer science degrees from Johns Hopkins University. He leads MSD's charter alongside Anand, building future neural network architectures that can enable more generalizable models of intelligence.

Julia is the Chief Product Officer at Vue.ai.

Vue.ai is a visual intelligence platform that enables the retail industry to reimagine the future with AI. Julia is the Head of Product at Vue.ai. She leads product, UX, and analytics teams that focus on building computer vision-based AI products that help retailers deliver the best experience to their customers.

Julia also advises companies on innovation and product experience.

Shailaja Ganesan is an Office Manager at Mad Street Den and EA to CEO, CTO @ MSD. at Mad Street Den and is based in Chennai, Tamil Nadu, India. She has worked as Ops Head at Shopo.in and Client Coordinator at AA Edutech Pvt Ltd. at AA Edutech Pvt Ltd. Shailaja attended St.Francis Xavier A.I.Higher secondary school. and Angel Matriculation Higher secondary school.

Anand is the CTO and founder of Mad Street Den®. A Neuroscientist & Neuromorphic engineer by training, Anand comes from a History in academia. As a postdoctoral fellow at Stanford University he was a member of the team that built Neurogrid, a neuromorphic chip that simulates a million neurons in real-time. He also designed and simulated an axon router chip, enabling structural plasticity in addition to synaptic plasticity. His professional focus since has been technical computing in the realms of pattern recognition and machine learning.

Prior to co-founding Mad Street Den®, Anand developed neural algorithms for real-world sensory classification problems in work with IBM, DARPA, and others. Anand holds a PhD degree in neuroscience from Baylor College of Medicine.

Costa is Senior VP and Chief Scientist at Mad Street Den® Labs. He is well-known internationally as an experimental and computational neuroscientist in the area of single neuron electrophysiology. He has been the principal investigator on grants from the National Institutes of Health and others to study how neurons encode and transmit information. After taking the leap from academia to industry, he built perhaps the first large-scale GPU-based neuron simulator, long before GPU's were widely used in machine learning. Subsequently, he developed advanced imaging and classification systems for the Naval Research Labs, NASA, and DHS before coming full circle to improve neuronal simulation with GPU's for NIH.

He holds MD and PhD degrees in neuroscience from the University of Virginia along with biomedical engineering, electrical engineering and computer science degrees from Johns Hopkins University. He leads MSD's charter alongside Anand, building future neural network architectures that can enable more generalizable models of intelligence.