Yuechen Liu earned her B.S. in Health Information Management at the University of Pittsburgh. She is currently working towards her Master in Science at Yale University, concentrating on the Health Informatics track. 
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Her previous work and research experience encompassed a wide range of aspects. As an intern at the Southwestern Veterans’ Center, she worked on electronic health records and corrected errors in medical records to rectify the reimbursement problem. By collaborating with medical personnel, she helped improve the ICD-10 coding system. As a technical assistant at Adaptive Telehealth Company, she worked on COVID-19 telehealth policies to help medical professionals identify and address core telehealth problems in the US. These experiences enabled Yuechen to gain a strong sense of investigating challenges in healthcare and utilizing her learnings to address real-life problems.
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Currently, Yuechen is working at the Shanghai Institute of Artificial Intelligence. During her internship, she researched the advantages of AI technology in COVID detection and published articles in USA Today and MarketWatch. She also participated in promoting the nucleic acid detection robot in Shanghai, which was successfully adopted by the government during the pandemic. She helped them successfully apply for a patent.
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Motivated by her previous experience and studies, Yuechen aims to continue working in the field of artificial intelligence to further investigate how AI could improve efficiency and narrow the healthcare gap. In her spare time, she enjoys traveling and sports.
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I have never failed in baking but always failed in cooking.