About

Ke Yu is a highly experienced Research Scientist and Data Scientist with over 12 years of relevant experience. Currently, Ke Yu is working as a Graduate Research Fellow at the University of Pittsburgh, where he is involved in conducting research on data analytics and machine learning. Prior to his current role, Ke Yu has held several senior positions in renowned organizations such as Aetna and Lumeris. At Aetna, Ke Yu worked as a Lead Data Scientist and was responsible for developing predictive models to enhance the performance of healthcare programs. Similarly, at Lumeris, Ke Yu served as a Senior Data Scientist and played a key role in developing machine learning models to improve the quality of healthcare services. Ke Yu boasts an impressive educational background, having completed a Doctor of Philosophy, two Master of Science degrees, and a Bachelor of Science degree. He obtained his Doctor of Philosophy and one of his Master of Science degrees from the Georgia Institute of Technology. He also holds a Master of Science degree from the University of Pittsburgh and a Bachelor of Science degree from Huazhong University of Science and Technology. Ke Yu is proficient in several technologies and has a strong background in research and data analytics. He has a proven track record of developing predictive models, conducting statistical analysis, and using machine learning algorithms to solve complex business problems. Overall, Ke Yu is a highly skilled and experienced professional who has made significant contributions to the field of data science and research. His expertise and experience make him a valuable asset to any organization looking to leverage data analytics and machine learning to drive business growth and success.