Experience

  1. Research Intern

    Shanghai Artificial Intelligence Laboratory

    Responsibilities include:

    • Led a project on reaction condition recommendation using large language models
    • Participated in the DPO training of chemical large language model
    • Conducted a literature review on reasoning with large language models

Education

  1. PhD Artificial Intelligence

    The Hong Kong University of Science and Technology (Guangzhou)
    Thesis on Why LLMs are awesome. Supervised by . Presented papers at 5 IEEE conferences with the contributions being published in 2 Springer journals.
    Read Thesis
  2. MEng Artificial Intelligence

    Fudan University

    GPA: 3.7/4.0

    Courses included:

    • Advanced Machine Learning
    • Advanced Deep Learning
    • Multi-modal Information Processing
  3. BSc Mathematics and Applied Mathematics

    Shanghai University

    GPA: 3.3/4.0

    Courses included:

    • Mathematical Analysis
    • Real Analysis
    • Functional Analysis
Skills & Hobbies
Technical Skills
Python
PyTorch
Linux
Hobbies
Football
Dogs
Travel
Awards
Neural Networks and Deep Learning
Coursera ∙ November 2023
I studied the foundational concept of neural networks and deep learning. By the end, I was familiar with the significant technological trends driving the rise of deep learning; build, train, and apply fully connected deep neural networks; implement efficient (vectorized) neural networks; identify key parameters in a neural network’s architecture; and apply deep learning to your own applications.
Blockchain Fundamentals
edX ∙ July 2023

Learned:

  • Synthesize your own blockchain solutions
  • Gain an in-depth understanding of the specific mechanics of Bitcoin
  • Understand Bitcoin’s real-life applications and learn how to attack and destroy Bitcoin, Ethereum, smart contracts and Dapps, and alternatives to Bitcoin’s Proof-of-Work consensus algorithm
Object-Oriented Programming in R
datacamp ∙ January 2023
Object-oriented programming (OOP) lets you specify relationships between functions and the objects that they can act on, helping you manage complexity in your code. This is an intermediate level course, providing an introduction to OOP, using the S3 and R6 systems. S3 is a great day-to-day R programming tool that simplifies some of the functions that you write. R6 is especially useful for industry-specific analyses, working with web APIs, and building GUIs.
See certificate
Languages
60%
English
100%
Chinese
0%
Cantonese