cv

General Information

Full Name Michael Chen
Date of Birth 19h October 2001
Languages English, Mandarin Chinese

Education

  • 2020 - 2023
    BS in Computer Science
    University of Massachusetts Amherst, MA, USA
    • Majored in computer science at University of Massachusetts Amherst
    • Relevant Classes
      • Algorithms
      • Data Structures
      • Machine Learning
      • Software Engineering
      • Discrete Mathematics
      • Digital Forensics
      • Computer Systems
      • Information Retrieval
      • Human Computer Interaction
      • Programming Methodology
      • Game Theory
  • 2022
    Exchange Student
    Yonsei University, Seoul, South Korea
    • Spent a semester studying at a top 3 university in South Korea taking economics related classes.

Experience

  • 2019
    Summer Student
    MIT Beaverworks, Cambridge, MA
    • Nominated by 3 teachers and then selected to be a student at Beaverworks, an intensive all-expenses paid summer program hosted by MIT.
    • At Beaverworks, worked in a team to learn and implement algorithms for self-driving RC vehicles using LIDAR and computer vision.
  • 2019
    Intern
    Boston College, Chestnut Hill, MA
    • Helped Boston College graduate researchers automate data collection using Python.
    • Data had previously been collected manually, and the machines required constant attending.
    • After the introduction of automated data collection, the machines were able to operate independently, saving the researchers lots of time.
  • 2022
    Intern
    Liberty Mutual, Dover, NH
    • Assisted in the transition from old on-site databases to new cloud-based databases hosted on Snowflake.
    • Responsibilities included learning the functions of the old databases, and then attempting to recreate the same functions in the new cloud databases using node.js.
  • 2023
    Researcher
    UC Riverside, Riverside, CA
    • Worked with PhD students and professors on a paper regarding the use of ML and NLP to detect Covid-19 misinformation in news articles.
    • Implemented the use of kernels and matrix decomposition in the classification algorithm to improve the accuracy of the model by up to 10%.
    • Post-summer, currently working with the professors on a journal paper extension about the benefits of SVD low- rank approximation in classification algorithms.

Projects

  • 2019
    WaySub
    • A website that allowed high school students to pre-order deli sandwiches, and receive them at the cafeteria during lunch time.
    • The project was highly successful during its 2 month trial run, and saw considerable use.
    • Website was coded using HTML, CSS, and Javascript, with mongodb as a database.
  • 2022
    Face-Rec
    • A machine learning program which was capable of recognizing facial features.
    • Written in Python using PyTorch and trained on the CelebA database (a database containing over 200,000 images of celebrities).
    • The program was able to accurately determine the facial features of random subjects who inserted a photo of themselves.
    • Final project for my machine learning class
  • 2023
    Custom Search Engine
    • Created a custom search engine that was able to search through a large database of scientific articles for articles related to a user's search query.
    • The search engine was capable of recognizing combinations of words that could potentially be phrases, and handling the phrases separately.
    • The search engine was able to rank each retrieved document with a score of how relevant it believed the document to be using natural language processing algorithms.
  • 2023
    QuickReads
    • An application that allows users to search for and read summarized news articles.
    • Users would enter a keyword they are interested in, and the application would fetch news containing the keyword, and then summarize it using chat-gpt.
    • Final project for my software engineering class.

Other Interests

  • Hobbies: Photography, Piano, Video Games