基本信息
浏览量:4
![](https://originalfileserver.aminer.cn/sys/aminer/icon/show-trajectory.png)
个人简介
Well-versed in course development—i.e., developing products based on the audience’s needs—and
providing leadership, management, and strategy; strong problem-solving and communication skills
Able to communicate complex quantitative information and to collaborate effectively in a team environment; experienced collaborating on papers for publication and giving technical presentations.
Exceptional at identifying underlying issues and providing concrete, data-driven solutions.
Core Skills:
• Mathematical modeling
• Quantitative analysis
• Hypothesis testing
• Product development process
• Coaching and training
• Data analysis
• Chinese
• Research strategy
• Programming
• Teaching
• Programming | Algorithms
• Machine learning
• Derivative Pricing Basics
providing leadership, management, and strategy; strong problem-solving and communication skills
Able to communicate complex quantitative information and to collaborate effectively in a team environment; experienced collaborating on papers for publication and giving technical presentations.
Exceptional at identifying underlying issues and providing concrete, data-driven solutions.
Core Skills:
• Mathematical modeling
• Quantitative analysis
• Hypothesis testing
• Product development process
• Coaching and training
• Data analysis
• Chinese
• Research strategy
• Programming
• Teaching
• Programming | Algorithms
• Machine learning
• Derivative Pricing Basics
研究兴趣
论文共 15 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Christian Quirouette,Daniel Cresta,Jizhou Li, Kathleen P. Wilkie,Haozhao Liang,Catherine A. A. Beauchemin
SCIENTIFIC REPORTSno. 1 (2023): 17243-17243
arXiv (Cornell University) (2023)
arXiv (Cornell University) (2023)
KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Virtual Event
CA
USA
July, 2020pp.1574-1584, (2020)
arXiv (Cornell University) (2020)
PHYSICAL REVIEW Eno. 5 (2019): 052202
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn