Xin Liu is a Research Scientist at Google Consumer Health Research. He received his 
PhD in Computer Science from the Paul G. Allen School of Computer Science & Engineering 
at the University of Washington, Seattle and was supported by Google PhD Fellowship. 
His research interests lie in the intersection of machine learning, ubiqutous computing, and health. 
He received a bachelor’s degree in computer science with honors and Outstanding Undergraduate
Achievement Award from the University of Massachusetts Amherst in 2018. He has
published more than 20 peer-reviewed papers on top venues in machine learning
(NeurIPS, ICLR, WACV, CHIL), mobile and ubiquitous computing (CHI, Ubicomp), and biomedical
engineering (TBME, JBHI, EMBC, PLOS). His research have been featured as an oral
presentation at NeurIPS and ICLR and on various public media including IEEE  Spectrum, ACM
TechNews, GeekWire, ZDNet, UW news.