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Operations Research Analyst
Tim Magee has over 30 years of experience in optimization, including reservoir optimization at CADSWES since 1993. His expertise is in the theory and application of linear programming, integer programming, goal programming, and stochastic programming. Magee has Mathematics and Chemical Engineering degrees from MIT and is a candidate for a PhD in operations research from MIT. He has taught operations and graduate statistics courses.
Magee designed the optimization and hydropower economics components in RiverWare, and he has worked closely with reservoir operators to apply optimization to their soft constraints and multiple objectives. Magee has also developed new stochastic optimization approaches and hydro-wind integration models. He worked with a team to design an Excel add-in which allows user to "slice" and aggregate data, choose from a wide variety of statistics, and plot the results quickly.
Magee has also optimized unit commitment of power plants, environmental investments, risk-return portfolios of education investments, asset allocation for pension plans, multinational financial flows, telecommunication infrastructure, configuring satellite constellations, and scheduling physicians. Some of these applications required novel formulations and/or cutting planes and used Excel as a user interface to other programs.