教育经历

  1. 本科

    武汉大学

    GPA: 3.88/4.0

    主持项目《基于物理原理与深度学习的RNA-配体对接理论建模研究》获批国家自然科学基金青年学生基础研究项目(本科生)资助(Grant No. 124B1012)。

    获评武汉大学2023-2024年十大阅读之星

    Course included:

    • Quantum Mechanics
    • Statistical Physics
    • Computational Physics
    • Machine Learning
    • Deep Learning
Skills & Hobbies
Technical Skills
Python
Data Science
SQL
Hobbies
Hiking
Cats
Photography
Awards
Neural Networks and Deep Learning
Coursera ∙ 十一月 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 ∙ 七月 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 ∙ 一月 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.
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