I am a 4th year science student with a specialization in combined major of Computer Science and Statistics at University of British Columbia. Coming from a background from both computer science and statistics, I have a strong fundamental in programming as well as mathematics. My upper-level courses had a focus on machine learning, statistical learning, and AI. Which provided me with an invaluable insight to the many aspects of ML and AI that I am highly motivated to continue my studies in.
Coming from a Bachelor‘s degree, my interests are still broad, but here are some of directions I am interested in:
- Statistical and Machine learning:
- Handling of high dimensional data /large-scale Statistical and Machine learning in fields such as computer vision. Nowadays, data grow too large and complex for traditional methods and the need for developing new methods arises. I am interested both in the mathematical aspects of these problems as well as their applications.
- Deep learning methods and their applications.
- Artificial Intelligence
- Reinforcement Learning
- Applications on robotics such as self-driving cars.
William J. Welch and Yilin Yang (2022). GaSP: Train and Apply a Gaussian Stochastic Process Model. R package version 1.0.1. https://CRAN.R-project.org/package=GaSP