PhD:
PhD Qualify: ``Decay of semiclassical massless Dirac fermions from integrable and chaotic cavities,'' PDF.
PhD Defense: ``Exploiting Machine Learning for Quantum Chaos and Quantum Information,'' PDF.
Kaggle Competition:
In 2022, I participated in a Kaggle competition to predict stock market rank (price change rate rank) using a graph neural network. Our team ranked 130th out of 2,033 participants. For more detailed method description, please see the attached file.
``GNN based knowledge-driven prediction for Japanese stock market,''
PDF.
Rank: 130/2033.
LeetCode Competition:
I am proficient in coding. In a 2021 LeetCode competition, I ranked 14th out of 7,505 participants worldwide (excluding China), which is the highest rank I have ever achieved. For more details, you can visit my LeetCode profile.
