Deep Nexus develops new technologies to organize and analyze sequential data across multiple industries. The company applies proprietary algorithms and can generate probability distributions for future outcomes that are clear and actionable. Applications include agriculture, chemistry, medicine, and finance.
Kevin is a technologist with over 20 years of experience in financial markets while holding Series 7 and 66 securities licenses. Additionally, he has spent more than 10 years working on commercialization of circular-economy technologies for resource recovery in water and agricultural markets. At Deep Nexus, he has been responsible for the development and coding of innovative deep learning models and the application of novel methods for analyzing noisy data. Kevin studied economics and international relations and received his BA from Columbia University.
Deep Nexus is a multi-disciplinary collaboration among physicists, mathematicians, electrical & chemical engineers, and computer scientists. The team employs the scientific method in the development and use of emerging technologies for the quantitative analysis of time-series and sequential data.
Deep Nexus LLC
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