I studied computer science at universities in China and South Korea, but it wasn’t until I came to the Mayo Clinic in Minnesota for my post-doc in 2015 that I discovered the next generation of data science was in medicine. It was also around that time that the size of data in medicine increased exponentially in the United States because it became more common for hospitals to use electronic health records. At the Mayo Clinic, I saw that the medical data was so large and underutilized that I decided to do my post-doc in the interdisciplinary field of data science and medicine. That was where I started to apply data science, natural language processing (NLP) and artificial intelligence (AI) techniques on the large volumes of data collected at the Mayo Clinic hospital.
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