Yoolhee (Hailey) Kim is a skilled professional with extensive experience in data science and engineering. Yoolhee interned at Geli, utilizing machine learning models for time-series forecasting of solar power production and researching cutting-edge forecasting methods. Previous positions include student researcher roles at CCH Optoelectronics Group, King-Liu Device Research Group, Lawrence Berkeley National Laboratory, and Carnegie Mellon University's Electrochemical Energy Group, where Yoolhee conducted simulations and experiments related to optics and battery materials. As a Mechanical Engineer at Enercon Services, Yoolhee performed calculations for chilled water systems and radioiodine sampling lines. Yoolhee further developed expertise as a Data Scientist at Citrine Informatics, focusing on modeling high-performance materials, and currently works as a Software Engineer at Google. Yoolhee holds a Bachelor of Science in Engineering Physics/Applied Physics from the University of California, Berkeley, and a Master of Science in Energy Science, Technology, and Policy from Carnegie Mellon University.
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