Global Weather Visualization: Utilizing Sensor Networks to Monetize Realtime Data

Michael Ferrari directs the Weather Trends research and product development efforts in the global commodities sector. He has several years of research experience which span the theoretical and applied domains of the geophysical and biophysical sciences. Before joining WTI, Michael was a commodity research scientist and trader where he was primarily involved with global climate forecasting, remote sensing analysis and algorithm development, applied technology research, and commodity analysis/modeling. All of these areas come together to support trading platforms in the agriculture and energy arenas. Prior to his commodities work, he was as an engineer for Bayer, Kimberly-Clark, and Black & Veatch. Michael is currently completing his PhD from Rutgers (post qualifying exam) where his research focuses on physical hydroclimatology and environmental evolution. He earned his BSc in Applied Economics. Michael has published and presented research findings in several areas, including global climate modeling, pattern recognition, biometeorology, environmental metagenomics, and climate economics.

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