Xin Liu is a 4th-year PhD candidate in the Paul G. Allen School of Computer Science &
Engineering at the University of Washington, Seattle and a Google PhD Fellow, where
he is advised by Shwetak Patel and Daniel McDuff. His research interests lie in
the intersection of machine learning, sensing, 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 15 peer-reviewed papers on top venues in machine learning
(NeurIPS, 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 on various public media including IEEE  Spectrum, ACM
TechNews, GeekWire, ZDNet, UW news. During his PhD, he also has spent significant
amount of time at industry research labs including Microsoft, Google, OctOML,
and Allen Institute for AI.