About Me





Hello there! I’m an aspiring duel linguistics and computer science major, though at the moment I’m still a first year at the University of British Columbia (UBC).

If you’re more interested in seeing what I have to offer, feel free to skip this section!

I’m aiming to someday become a computational linguist, or something of the sort which allows me to solve a variety of linguistic problems with the use of technology. This will likely be in about 4 years, though because of my goals, I am definitely considering going into the Master of Data Science: Computational Linguistics program at UBC once I’m finished my undergrad.

As for why I have this drive to become a computational linguist, I got really into linguistics during my final years of high school, and just never stopped learning. This was around the time I began learning more about computer programming and the sheer amount of things I could do with it. That, coupled with the fact ChatGPT was getting released on the year I was to graduate, made it click that I could possibly explore career options which made use of two of the subjects I really enjoyed in tandem with one another. Ever since then, I have been trying to pursue my own personal projects related to the field in order to prepare myself for the future roles I am to take.


Experience


Unfortunately, I haven’t had much professional work experience directly tied to computational linguistics. That being said, I have tackled a multitude of linguistic problems with programming while working on my personal projects, which can be seen here. The main focal point of them at the moment would be on the Downriver dialect of the Halkomelem language, the scraping, cleaning and analysis of data. One of the main goals I have as of now is to work off of my old CLC project, and with a bit of machine learning, create an online English-Downriver Halkomelem translator and dictionary for the language.

Additionally, this semester I have begun to be involved as a research assistant at UBC on computational linguistics related projects.

Though not pertaining to computational linguistics per say, I am currently working part-time as a contractor at the Thunderbird Community Centre as a Python Instructor, teaching children from ages 9~13 as well.


Skill Set


Python Logo Python:

  • Data Processing and Analysis:
    • Proficient in scraping, filtering, and processing large datasets.
    • Skilled at transforming raw data into meaningful insights.
  • Machine Learning:
    • Capable of implementing basic machine learning algorithms.
  • Problem-Solving:
    • Utilizes critical thinking to approach and solve complex problems.
    • Demonstrates persistence and determination in achieving results.

R Logo R:

  • Data Access and Transformation:
    • Proficient in accessing data from databases and other sources.
    • Able to transform data into a tidy format suitable for analysis.
  • Machine Learning with KNN:
    • Experienced in training various KNN (K-Nearest Neighbors) models.
  • Data Visualization:
    • Skilled in creating meaningful and informative data visualizations.

I have around 3 years of experience with Python, and some competencies in R as well, which I’ve used quite considerably while trying to solve linguistic problems I’ve come across while working on my personal projects.

I have a strong understanding of the fundamental principles of linguistics, and am particularly interested in phonetics and phonology. Creating linguistic models is also something I’ve been very keen about.