Jingyuan Liu

Senior Data Scientist at SentiLink

Jingyuan Liu has worked in various roles across multiple companies. In 2022, they began working at SentiLink as a Data Scientist and Sales Support. In 2021, they worked as a Data Science Intern at Warner Music Group. In 2020, they were a Research Assistant at Columbia University Irving Medical Center, where they utilized NLP models to classify and conduct sentiment analysis on medical students' EPA performance, collaborated with Columbia Medical School to collect and process raw data, and deployed a web app based on Flask. In 2021, they were a Teaching Assistant and Research Assistant at Columbia University in the City of New York, where they graded assignments and exams for graduate-level Algorithm and held weekly office hours. Lastly, in 2018, they were a Data Engineer at XuetangX, where they designed an advanced monitoring system for data processing and storing procedures, proposed a new visualization toolkit, and delivered weekly summary presentations of visualization in team meetings.

Jingyuan Liu attended The Experimental High School Attached to Beijing Normal University from 2010 to 2016. From 2016 to 2018, they attended UC San Diego, majoring in Mathematics. Jingyuan then transferred to University of California, Berkeley, where they obtained a Bachelor of Arts degree in 2018 with a double major in Mathematics and Data Science. In 2020, they began their Master of Science degree in Data Science at Columbia University, which they are projected to complete in 2022.

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New York, United States

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SentiLink

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SentiLink is building the modern identity bureau and bringing consumer identity into the 21st century. As the world shifts online, both individuals and institutions are increasingly exposed to new vectors of fraud. To tackle this complex and evolving problem, SentiLink verifies identities in real-time using proprietary clustering technology and the latest machine learning techniques.