Lokhin Chan
Masters Student in Machine Learning
Imperial College London
About me
I am a master’s student at Imperial College London. I am interested in Bayesian Inference on various Computer Vision tasks, as well as building machine learning models and applying them to solve real-world problems. On my personal website, I would like to share interesting ideas and experiments, mainly on Artificial Intelligence and Machine Learning.
Interests
- Machine Learning
- Compter Vision
- Generative Model
Education
MSc in Computing (Artifical Intelligence and Machine Learning), 2022
Imperial College London
BEng in Computing, 2021
Imperial College London
BBA in Insurance, Finance and Acturaial Science, 2018
Chinese University of Hong Kong
Experience
MSc in Computing (Artifical Intelligence and Machine Learning)
Masters Individual Project: Uncertainty in Deep Learning for Computer Vision Tasks
BEng in Computing
- Graduated with first-class Honour
- Served as Undergraduate Teaching Assistant, tutoring first-year students Computer Programming
- Participated as a Student Researcher in Undergraduate Researching Opportunities Programme during Summer 2020
BBA in Insurance, Finance and Acturaial Science
- Graduated with high 2:1 Honour
- Placed on the Dean’s List by the faculty of business administration in 2016-2017
Actuarial Internship
Accomplishments
AWS Certified Machine Learning – Specialty
Successfully passed the AWS Certified Machine Learning – Specialty exam. Earners of this certification have an in-depth understanding of AWS machine learning (ML) services.
See certificate
Tensorflow Developer Certificate
Building Tensorflow models using Computer Vision, Convolutional Neural Networks, Natural Language Processing, and real-world image data and strategies.
See certificate
Projects
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Is selfish routing really inefficient? Beyond worst-case price of anarchy.
Works with
Python
Statistics
Computer