Dan Ni Lin

Research Assistant at Department of Industrial, Manufacturing, & Systems Engineering - Texas Tech University
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Contact Information
us****@****om
(386) 825-5501
Location
Lubbock, Texas, United States, US
Languages
  • Chinês Full professional proficiency
  • Espanhol Full professional proficiency
  • inglês Full professional proficiency
  • Português Native or bilingual proficiency

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Credentials

  • Unconscious Bias
    LinkedIn
    Jan, 2022
    - Sep, 2024
  • HSKK（Hanyu Shuiping Kaoshi 汉语水平口语考试）- 3级
    Confucius Institute Headquarters
    Jan, 2020
    - Sep, 2024
  • HSK（Hanyu Shuiping Kaoshi 汉语水平考试）- 5级
    Confucius Institute Headquarters
    Jan, 2020
    - Sep, 2024
  • Preliminary English Test
    Cambridge Assessment International Education
    Dec, 2019
    - Sep, 2024
  • Duolinguo English Test
    Duolingo
    Mar, 2022
    - Sep, 2024

Experience

  • Department of Industrial, Manufacturing, & Systems Engineering - Texas Tech University
    • United States
    • Higher Education
    • 1 - 100 Employee
    • Research Assistant
      • Jan 2023 - Present

      Research focus on image processing and machine learning applied in healthcare. Research focus on image processing and machine learning applied in healthcare.

  • Escola Politécnica da USP
    • Brazil
    • Higher Education
    • 300 - 400 Employee
    • Undergraduate student
      • Feb 2018 - Jan 2023

    • Undergraduate scientific researcher - Fapesp scholarship
      • Feb 2021 - Nov 2021

      Unraveling fluid-fluid interfaces through molecular simulations and machine learning.- Learned how to build different types of machine learning models with Python to predict fluid properties values which contributed to time reduction in getting those values- Presented scientific research results on 29th National Symposium of Undergraduate Research of USP physics institute and as a result the work was ranked as top 15%

    • Undergraduate scientific researcher - PIBIC scholarship
      • Jul 2019 - Oct 2020

      • Developed a tool through coding with Python that analyzed 20.000 lines of data to identify different types of petroleum characteristics used by the institution to validate their results• Presented scientific research results on 28 USP National Symposium of Undergraduate Research of USP physics institute and as a result the work was ranked as 10th out of 59 pieces of research

    • Calculus1 Teaching Assistant
      • Feb 2019 - Jul 2019

      Assist students with doubts in calculus 1 and give a backup to the teacher when necessary, such as teaching classes and doing complementary exercises.

Education

  • Escola Politécnica da USP
    Bacharelado em Engenharia, Engenharia Petrolífera
    2018 - 2022
  • Texas Tech University
    Doctor of Philosophy - PhD, Industrial Engineering
    2023 - 2026

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