Bo Young Kim
About Bo Young Kim
Bo Young Kim is a Postdoctoral Fellow at NYU Langone Health with a PhD in Statistics from Seoul National University and expertise in data analysis, including text data in Hangul, matrix completion, and image recovery.
Current Role at NYU Langone Health
Bo Young Kim is currently a Postdoctoral Fellow at NYU Langone Health. She began this role in 2023 and works in a hybrid format in New York, United States. In her position, she continues to contribute to her field of expertise, leveraging her substantial background in statistics and data analysis.
Previous Experience at Seoul National University
Bo Young Kim has significant experience working at Seoul National University. She served as a Graduate Research Assistant from 2014 to 2019, focusing on various research projects in Gwanak-gu, Seoul, Korea. Additionally, she was a Graduate Teaching Assistant from 2013 to 2019, where she assisted in teaching statistical concepts and applications. Her roles at SNU provided her with a robust foundation in both research and teaching.
Educational Background in Statistics
Bo Young Kim holds a PhD in Statistics from Seoul National University, which she achieved over a period of 10 years from 2013 to 2023. She also studied at the University of California, Riverside, where she completed the International Education Program at UCR Extension from 2010 to 2011. Prior to these achievements, she earned a Bachelor of Science in Statistics from Chung-Ang University after five years of study from 2008 to 2013.
Expertise and Technical Skills
Bo Young Kim possesses expertise in analyzing text data in Hangul, the Korean script. Her skills also include advanced techniques in data analysis such as matrix completion and image recovery. She has experience working with TV viewing log data, emphasizing a background in media analytics. Proficient in multiple programming languages including R, Python, and C/C++, as well as statistical software SPSS, Bo Young Kim demonstrates a strong capability in adopting new statistical models and programming languages.