Jin Wang

Jin Wang has diverse work experience in various research and teaching roles.

From 2020 to the present, Jin Wang works as a Research Scientist at Megagon Labs. They are responsible for conducting research on data integration and natural language processing (NLP), and currently lead research projects on matching and table understanding.

From 2016 to 2020, Jin Wang served as a Teaching Assistant at the University of California, Los Angeles. During this time, they provided support in teaching courses.

In 2018, Jin Wang had an internship as an Applied Data Scientist Intern at A9.com.

In 2016, Jin Wang worked as a Research Intern at Microsoft, where they conducted research on short text understanding. Their work on this topic was published in the IJCAI 2017 paper.

From 2015 to 2016, Jin Wang worked as a Research Assistant at the University of California, Los Angeles.

From 2012 to 2015, Jin Wang worked as a Research Assistant at Tsinghua University, Department of Computer Science and Technology. Additionally, from 2014 to 2014, they also served as a Teaching Assistant during their time at Tsinghua University.

Jin Wang completed their doctoral studies in Computer Science at UCLA from 2015 to 2020, earning a Doctor of Philosophy (PhD) degree. Prior to that, they obtained a Master of Science (M.S.) degree in Computer Science from Tsinghua University, completing their studies there in 2015. Jin Wang's earlier education includes receiving a High School Diploma from The High School Affiliated to Renmin University of China from 2004 to 2007.