Entry Information
Ruihe Wang
Ms
Female
17/06/2002
China
Passport
EJ740
Chinese
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+85257761202
210B, University Apartment Tower A, HKUST, Sai Kung
New Territories
Hong Kong
RGC
Mathematical Sciences
Life Science and Medicine
As a PhD student in the Department of Mathematics at HKUST, I am thrilled at the opportunity to participate in the Hong Kong Laureate Forum. This forum's mission to connect emerging scholars with established pioneers aligns perfectly with my aspiration to refine methodology development through expert insights.
Specifically, I am eager to learn from the laureates’ groundbreaking work and gain insights into cutting-edge developments in mathematical sciences. The interdisciplinary nature of the forum will allow me to explore connections between statistical machine learning and other scientific domains, fostering innovative approaches to my research. Additionally, I look forward to contributing to discussions on how mathematical tools can drive progress in technology and society.
Participating in this forum will not only enhance my academic growth but also inspire me to contribute meaningfully to the global scientific community. I am excited to collaborate, exchange ideas, and build lasting connections with fellow researchers, furthering my commitment to advancing knowledge in statistical machine learning and its impactful applications.
Postgraduate (PhD)
Mathematics
Hong Kong University of Science and Technology
Hong Kong
First Academic or Research Referee *
Prof. Yuan Yao
Hong Kong University of Science and Technology
Professor
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Second Academic or Research Referee
1. Hong Kong PhD Fellowship (HKPF) from the University Grants Committee (2024-2028)
2. National Scholarship from the Ministry of Education (2023), top 1%
3. National Scholarship from the Ministry of Education (2021), top 1%
4. First Prize Scholarship from Harbin Institute of Technology (2022), top 3%
5. National Second Prize, China Undergraduate Mathematical Contest in Modeling (2022), top 3% among the 49424 teams
6. Finalist, Mathematical Contest in Modeling (2022), top 2% among the 27205 teams

No
N/A
University
