CV

(Update time: 6th Sep, 2020)

Also available in PDF format.

Education

• McGill University, Sept 2016 - Present (Dec 2020)
  • Bachelor of Science, Major in Statistics and Computer Science, Minor in Mathematics (Full Courses Link)
  • High level courses: Artificial Intelligence, Machine Learning, Data Science*, Computer Vision, Natural Language Processing, Computational Linguistics, Stochastic Process, Time Series, Game Theory*, Convex Optimization, Discrete Optimization, Linear Optimization*, Non-parametric Statistics* (*: currently taking)
  • Exchange student in The Chinese University of Hong Kong in Winter 2019 (Jan - May)
  • Raised Funding 1500 CAD for selected students studying abroad
  • Final Year GPA: 3.75/4.00

Experience

• Researcher, Cooperation with Prof. Boyu Wang, Western University, Jun 2018 - Present
  • Research about decoding in EEG-based Brain-Computer Interface using deep learning and applying transfer learning framework onto certain SOTA networks in CV (2018-2019)
  • Research about application of differential privacy in machine learning and transfer learning framework (2020)
• Research Assistant, Under Prof. Jimmy Lee’s Supervision, The Chinese University of Hong Kong, Jan 2019 - May 2019
  • Research on the project - Detecting Similarities of Computer Programs in Generalized Languages
  • Aimed at studying current SOTA techniques in detecting similarities of computer programs
  • Adapted and adopted suitable techniques for detecting similarities in programs in a text-based form
  • Proposed novel methods in similarity measurement of vectors
  • Made an oral defense
• Machine Learning Algorithm Engineer, Supervisor: Dr. Jinfeng Yi, Machine Learning Lab, JD.com AI Research, Beijing & Nanjing, Jun 2018 - Aug 2018
  • Took charge of an automatic customer service project in its second phase, discovered a better classification strategy using data mining technique, improved the theoretical performance from 20% to around 80% with slight compromise
  • Designed and realized the advertising system in no-salesman stores using cameras to classify potential customers, and then applying strategies to display corresponding goods onto the advertising screens
  • Designed an importance weighting mechanism in certain sorting algorithms to reduce time complexity

Projects

• AI Player for Game Saboteur, Jan 2020 - May 2020
  • Designed and implemented an AI player for a non-deterministic board game called Saboteur using Breadth-First Search and A* Search
  • Decision tree pruned by human’s experience
  • Ranked top 20% among all competitors
  • Written report with distinction
• Identity Finder, Nov 2018
  • Aimed at helping find the children that lost in their early ages
  • Trained a CNN in PyTorch to measure the similarities between profiles in people’s different ages
  • Made a UI in PyQt for users to upload paired pictures as inputs to the trained model
  • Test case precision 90%+
• Lambda Calculus Interpreter of an XML-style Language, Jan 2018 - May 2018
  • Implemented an interpreter that can parse, pretty-print and evaluate a made-up XML-style language with certain grammars provided by the instructor
  • Lambda calculus feature added

Skills and Interests

• Technical: Python, Java, C/C++, MATLAB, R, Scala, SQL/MongoDB, Scripts(Bash, Batch), Git, LaTeX
• Certifications: Deep Learning Specialization (deeplearning.ai), Classical Music (Yale), Psychological First Aid (John Hopkins)
• Languages: Mandarin (Native), Cantonese (Fluent), English (Fluent), French (Beginner)
• Sports: Table Tennis (University Varsity Team), ESports (Music Game, National Team, World Cup participant)
• Voluntary Work: Personal Startup Developer (CV algorithm design, data analysis and technical support), Music Game Developer (UI and algorithm design), Peer Tutor Program (Maths & Stats Department, McGill)