Xuancong Wang

Xuancong Wang is a Data Scientist at the MOH Office for Healthcare Transformation since November 2018, focusing on machine learning and deep neural network techniques to identify anomalies in time-series data related to digital phenotyping studies. Additionally, Xuancong is enhancing the Beiwe digital phenotyping platform through Android development and Django server backend learning. Since October 2013, Xuancong has also served as a Research Scientist at the Institute for Infocomm Research, specializing in natural language processing and machine translation, with a focus on training translation systems and improving their performance through error analysis and feature addition. Xuancong Wang earned a PhD in Computer Science and a Bachelor of Science in Physics with a Mathematics minor from the National University of Singapore, completed in 2015 and 2008, respectively.