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Riskpulse | Financial Dynamics

Science Advisory Board

Jim Hansen, PhD

Naval Research Laboratory

Jim is the head of the Applications Development Branch and is the lead scientist of the Naval Research Laboratory (NRL) Probabilistic Prediction Research Office in the Marine Meteorology Division of the Naval Research Laboratory.

Prior to joining NRL in 2006 he was a professor of atmospheric science in the Earth Atmospheric and Planetary Sciences Department at the Massachusetts Institute of Technology.  He received his PhD in Atmospheric, Oceanic, and Planetary Physics at the University of Oxford where he was a Rhodes Scholar.  His BS and MS were both obtained from the University of Colorado, Boulder in Aerospace Engineering where he worked his way through college playing football.

Dr. Hansen’s research interests are wide-ranging, but are focused on the estimation and communication of uncertainty information for improved scientific understanding and improved decision-making.

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William Hsieh, PhD

University of British Columbia

William is Professor Emeritus in the Department of Earth, Ocean and Atmospheric Sciences at the University of British Columbia.  His research is in developing nonlinear machine learning methods from the field of artificial intelligence and applying them to the environmental sciences.

William has over 90 refereed journal publications covering areas of climate variability, machine learning, oceanography, atmospheric science and hydrology.  He is the author of "Machine Learning Methods in the Environmental Sciences", published by Cambridge University Press in 2009, and is a Fellow of the Canadian Meteorology and Oceanographic Society.

He has a BS in Combined Honours Mathematics and Physics, an MS in Physics and a PhD in Physical Oceanography, all from the University of British Columbia, and was a post-doctoral fellow at the University of Cambridge and the University of New South Wales.

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Paul Roundy, PhD

University at Albany, State University of New York

Paul  is an associate professor of atmospheric science at the University at Albany in the State University of New York. He served as a postdoctoral research associate with George Kiladis at the NOAA Earth System Research Laboratory in Boulder, Colorado, and he holds a PhD in Meteorology from Penn State University and a BS in physics from Utah State University.

Paul enjoys watching intraseasonal weather events unfold, works to understand what makes them tick, and develops algorithms to help predict them. He supervises the research activities of six graduate students an serves as an editor for the journal Monthly Weather Review.

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Adam O’Shay, PhD

Customer Research Partner

Adam O'Shay is President and Head of Trading at energy commodities trading firm Leeward Pointe Capital.

Adam has worked in the commodities and capital markets since 2001 and has significant energy analytics and trading experience. His quantitative approaches and extensive statistical/numerical modeling background reach deep into the fundamental natural gas and Northeast power trading markets as well as the insurance and reinsurance sectors.

Prior to his time at Leeward, Adam worked as a data scientist with EarthRisk’s Research and Analytics teams focused on developing market and trading applications that leverage TempRisk. He was also previously the Head of Quantitative Analysis at e360 Power LLC - a commodities hedge fund in Austin, TX. There, Adam was responsible for all fundamental and statistical modeling for the North American Natural Gas and Power Businesses. These models formulated the basis for short-term and longer-term structural positions. While at e360, he managed a Natural Gas book, and co-led the Short-Term PJM On-Peak Power portfolio. These strategies relied upon modeling and quantifying risk for the North American Supply & Demand infrastructure and trading inter, and intra-commodity spreads, futures and option structures to identify mispriced markets across the forward curve.

Previous to this, Adam worked for Optiver US LLC where he was brought in to build the quantitative and strategic trading business of their Fundamental Natural Gas Futures and Options trading desk. There, Adam instituted both directional and delta-neutral strategies to connect the fundamental natural gas markets with the pre-existing high frequency trading infrastructure.

Prior to working at Optiver, Adam was a Senior Quantitative Research Meteorologist for the Global Energy Desk at Citadel in Chicago. Adam’s background in meteorology and statistical modeling aided the Natural Gas and PJM Power trading desks in quantifying medium and longer-range weather risks. Before joining Citadel, Adam worked as a Senior Developer at Risk Management Solutions where he developed statistical and numerical models for aiding in quantifying natural disaster risk for the insurance and reinsurance community.

Adam has published more than a dozen academic and private sector papers and reports, including chapters in books on reinsurance risk and weather and climate. Adam holds a B.S. in Atmospheric Science from Cornell University and a M.S. and Ph.D. in Atmospheric Numerical Modeling from Florida State University.

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