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Basics

Name Jun Yuan
Label Data Scientist
Email jy448@njit.edu
Url https://jydrew.github.io/
Summary A Data Scientist with a passion for human-centered AI.

Work

  • 2021.06 - 2021.08
    Data Science Intern (NLP)
    Accern Inc.
    1) Topic modeling with BERT, T-SNE on finance news data. 2) Evaluated Machine Learning models via collaborative manual annotation. 3) Discovered temporal trends of topics during the COVID-19 breakout.
  • 2020.06 - 2020.08
    Data Science Intern (NLP)
    Accern Inc.
    1) Subjectivity modeling with BERT on COVID-19 tweets data. 2) Developed annotation guidelines and collaborated with a four people annotation team. 3) Generated 20 thousand annotation data for model training and reached high test accuracy.
  • 2019.01 - Present
    Research Assistant
    New Jersey Institute of Technology
    Conducting research on visual interface for ranking interpretation, high-stake decision-making, and explainable AI.

Volunteer

  • 2019.09 - 2020.09

    New Jersey, USA

    Vice President
    NJIT Graduate Student Association
    Lead the Finance and Programming committee of the Graduate Student Association. Represented the Graduate students in university meetings.

Education

  • 2019.01 - Present

    New Jersey, USA

    PhD
    New Jersey Institute of Technology, New Jersey, United States
    Data Science
  • 2015.08 - 2018.12

    South Carolina, USA

    MS
    Clemson University, South Carolina, United States
    Mathematical Sciences
  • 2010.08 - 2015.05

    Zhejiang, China

    BS
    Hangzhou Dianzi University, Zhejiang, China
    Mathematics

Awards

  • 2023.11.20
    Third Place of NJIT Research Day Competition 2023
    Graduate Student Association of NJIT
    Research Day is dedicated to highlighting the research progress and achievements of the graduate student body at NJIT. Students present their cutting-edge research either through oral presentations or via poster presentations.

Skills

Subjects
Data Visualization
Information Visualization
Machine Learning
Explainable Artificial Intelligence
Statistical Modeling
Human-in-the-loop Data Analysis
Human-centered Artificial Intelligence
Learning-to-rank
Fairness in ranking
Analysis
Python
Tableau
MATLAB
LaTeX
MS Office Suite
SAS
critical thinking
problem solving
ideation

Languages

English
Fluent
Chinese (Mandarin)
Native speaker