GUO Jian 郭健

郭健教授是IDEA研究院创始成员之一，担任IDEA研究院执行院长、首席科学家以及AI金融与深度研究中心负责人。他是IDEA人工智能金融和深度学习研究中心（IDEA-FinAI）的创始人，领导多个研究项目，包括FinAI-X（也称为金融智能大脑）、金融行为知识图谱和相关的知识推理技术、用于金融应用的大规模深度学习模型、使用强化学习进行金融市场微观结构仿真等。此外，郭博士还是清华大学深圳国际研究生院的实践教授和香港科技大学（广州）的实践/兼任教授并兼任金融科技校长咨询委员会委员。

郭教授在哈佛大学开始了他的正式教授职位（终身制），专注于数据科学和机器学习。他在统计机器学习、深度学习、强化学习、概率图模型和生物信息学等领域发表了多篇研究论文，并将他的研究应用于推荐系统、搜索引擎系统、计算广告、基因序列分析和遗传疾病预测、信用风险分析和量化投资等各个领域。郭博士还是在金融投资和风险管理中探索应用深度/强化学习技术的先驱之一，他在金融市场拥有超过五年的量化投资和创业经验。郭博士在美国密歇根大学统计系（机器学习专业）获得了博士学位，并在清华大学完成了本科学习（数学与应用数学专业）。

As a founding member, Dr. Jian Guo is the first technical expert assisting Dr. Harry Shum to found the International Digital Economy Academy (IDEA), and he is acting as the Executive President of IDEA as well as the Chief Scientist of AI Finance and Deep Learning. He is the founder of IDEA’s AI Finance and Deep Learning Research Center (IDEA-FinAI), leading a number of research projects including FinAI-X (a.k.a Finance AI Brain), financial behavioral knowledge graph and relevant knowledge reasoning techniques, large-scale deep learning models for finance application, simulation of financial market micro-structure using reinforcement learning etc. In addition, Dr. Guo is a Professor of Practice at Tsinghua University (Shenzhen International Graduate School). He is also a Professor of Practice at Hong Kong University of Science and Technology (Guangzhou) and an Advisor to the President for Financial Technology (Fintech).

Prof. Guo started his professorship (tenure-track) at Harvard University, being a faculty/expert in data science and machine learning. He published a number of research papers in statistical machine learning, deep learning, reinforcement learning, probabilistic graphical model and bioinformatics, and his research have been applied to various areas including recommendation systems, search engine systems, computational advertising, gene sequence analysis and genetic disease prognosis, credit risk analysis and quantitative investment. Dr. Guo is also one of the pioneering researchers who explored the application of deep/reinforcement learning techniques in finance investment and risk management, and he has over five years quantitative investment and entrepreneurship experience in financial market. Dr. Guo received his Ph.D. degree from Department of Statistics at University of Michigan (major in machine learning) in US, and completed his undergraduate study from Tsinghua University (major in mathematics and applied mathematics) in China.