PhD student in Artificial Intelligence, AI for Science and Engineering
PhD student in Statistics, School of Management
Master's student in Statistics, School of Management
Bachelor of Statistics, School of the Gifted Young
GPA: 3.72/4.30 (87.9/100)
Ranking: 15/75 (Statistics)
Zezhi Wang, Jin Zhu, Peng Chen, Huiyang Peng, Xiaoke Zhang, Anran Wang, Yu Zheng, Junxian Zhu, Xueqin Wang.
Yukang Jiang, Bingxin Zhao, Xiaopu Wang, Borui Tang, Huiyang Peng, Zidan Luo, Yue Shen, Zheng Wang, Zhiwen Jiang, Jie Wang, Jieping Ye, Xueqin Wang, Hongtu Zhu.
Develop a framework based on UK Biobank for risk and multimorbidity.
Develop new methods for GWAS based on UK Biobank data.
Established online documentation for software, wrote part of the documentation, and conducted some experiments.
Developed an efficient algorithm for best subset recovery in deep neural network.
Conducted the coding component including algorithm, simulation and real data analysis.
Develop AI for imperfect information game such as GuanDan with large action space.
Adapt artificial intelligence to make energy systems smarter, more efficient, reliable, and sustainable..
- TA, Mathematical analysis B1 (Credit:6) Sept. 2022 - Jan. 2023
- TA, Mathematical analysis B2 (Credit:6) Feb. 2023 - Jul. 2023
- TA, Probability theory and mathematical statistics(Credit:3) Sept. 2024 - Jan. 2025
- TA, Mathematical analysis B2 (Credit:6) Feb. 2025 - Jul. 2025
- PhD Student Scholarship Sept. 2025
- Outstanding Communist Youth League Cadre June. 2025
- Outstanding Communist Youth League Member June. 2024 & June. 2025
- Master Student Scholarship Sept. 2023 & Sept. 2024
- Rose Scholarship May. 2023
- Outstanding Graduate Award Jun. 2023
- Provincial Second Prize, College Student Mathematics Competition Nov. 2021
- Undergraduate Students Scholarship Nov. 2020 & Nov. 2021 & Nov. 2022
- Cyrus Tang Scholarship June. 2020 & June. 2021 & June. 2022 & June. 2023