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, statistical programming languages, and predictive analysis, techniques, tools, and statistical methodology; Microsoft Office fluency, particularly Excel (using embedded macros); experience administering
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goal of this project is to develop machine learning techniques to improve climate change simulations. M²LInES is composed of more than 30 scientists at NYU, Columbia, MIT, Princeton, GFDL, NCAR and CNRS
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statistics and evaluating advisees' chances of obtaining admission. Assisting advisees with the law school application process, inclusive of personal statements, letters of recommendation, and taking the LSAT
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techniques; and calculation and interpretation of mathematical formulas such as percentages, ratios, statistical average, median, and multiple regressions. Advanced proficiency level in Microsoft Excel