Recently, Baifendian Technology officially announced the appointment of Chen Songxi, a professor at the School of Mathematical Sciences of Peking University and Guanghua School of Management, and an academician of the Chinese Academy of Sciences, as the honorary dean of the Baifendian Data Science Research Institute. The company will use this to deepen its layout in the field of data science and boost the construction of digital China.
Academician Chen Songqi is mainly engaged in the statistical analysis of ultra-high-dimensional big data, environmental statistics, non-parametric statistical methods, etc., and is committed to the development and promotion of statistical theories and methods in high-dimensional statistical inference, empirical likelihood, and China's macroeconomic econometric analysis, etc. The research and application of the field have promoted the key development of statistics.
world top scientists
Academician Chen Songqi is mainly engaged in the statistical analysis of ultra-high-dimensional big data, environmental statistics, non-parametric statistical methods, etc., and is committed to the development and promotion of statistical theories and methods in high-dimensional statistical inference, empirical likelihood, and China's macroeconomic econometric analysis, etc. The research and application of the field have promoted the key development of statistics.
He enjoys a high reputation in the international statistical community, and his research results have been highly recognized by domestic and foreign counterparts, and he was selected as the top 2% top scientists in the world by Stanford University in 2020. He won the 7th Li Yining Scientific Research Award, the first prize of Natural Science Award of the Ministry of Education in 2017, and was elected as an academician of the Chinese Academy of Sciences in 2021.
He has successively worked in universities in Australia, Singapore, and the United States, and has been a professor at Peking University since 2008. He used to be the dean of the Department of Business Statistics and Econometrics, Guanghua School of Management, Peking University, and the co-founder of the Center for Statistical Science, Peking University. Fellow of the American Association for the Advancement of Science, fellow of the American Statistical Association, fellow of the Institute of Mathematical Statistics, and scientific secretary of the Bernoulli Society.
In recent years, Academician Chen Songqi has not only achieved remarkable academic achievements, but also paid close attention to the country's major strategic needs. Taking the major needs of the country's air pollution prevention and control as the starting point, it has made cutting-edge cross-cutting results in the field of mathematical geophysics, providing a scientific method for accurately measuring pollution emissions and evaluating the effect of atmospheric governance. He has successively presided over a number of major and key projects of the National Natural Science Foundation of China, such as "Air Quality Statistical Diagnosis Model", and published more than 110 papers in international academic journals.
In the era of digital economy, massive amounts of accumulated data have become an indispensable new factor of production, constituting an important strategic resource of the country and containing huge value.
Jointly promote the construction of "soft" power in data science
In the era of digital economy, massive amounts of accumulated data have become an indispensable new factor of production, constituting an important strategic resource of the country and containing huge value.
In the opinion of Academician Chen Songqi, the key to the construction of digital China is to unleash data productivity. To truly unleash productivity, we cannot rely solely on the construction of infrastructure such as storage and computing power, but also need the construction of "data culture", especially the construction of data science "soft" power such as scenario-driven data analysis.
Data science has become one of the key research directions to promote digital transformation and technological innovation due to its fundamental value and comprehensive technology. Percent Technology is a pioneer in the use of data science to empower industries in China. Since its establishment, it has established an independent research and development route that pays equal attention to basic technology and industry applications. The product technology route has always revolved around "perception-cognition-decision-action" and "data-knowledge- "Application" for innovative development.
Based on more than ten years of theoretical and technical accumulation and deep integration of domain knowledge, two major product systems of data science basic platform and data intelligent application have been formed. The whole line of products supports localization adaptation and credit innovation system. Possess nearly 500 intellectual property rights, participate in the formulation of nearly 20 big data and artificial intelligence standards, the core technology has won the Beijing Science and Technology Award for three consecutive years, and the basic platform of Baifendian Data Science won the first prize in China's first big data competition.
At present, the process of integrating the digital industry and the real economy is accelerating, and "digital-real integration" has become a "must-answer question" that every industry must face. According to Dr. Su Meng, Chairman and CEO of Baifendian Technology, in order to solve the common problems in the key activities of data science, Baifendian Technology relies on the Data Science Research Institute to focus on the application innovation of machine learning, operational research optimization and complex statistical theory methods, and create value through research data. mechanism to solve specific business problems. The in-depth cooperation with Academician Chen Songqi will further lead the development of Percentage Data Science products and technologies, and make breakthroughs in top-level architecture design and core technology research and development.
Academician Chen Songqi and Dr. Su Meng jointly stated that there are still many challenges in the implementation of data science industrialization, which requires cooperation between academia and enterprises. The two parties will continue to deepen the cutting-edge technology and application research in the field of data science, improve the research and development capabilities of Percent Data Science Research Institute, promote the deep integration of industry, education and research, cultivate high-level talents for the field of data science, achieve high-level technological self-reliance and self-improvement, and be in the industry Communicate with technology and other aspects to promote the development of digital economy and the construction of digital China.
About Percent Data Science Institute:
Percent Data Science Research Institute was established in 2015, formerly known as Percent Data Science Laboratory. In 2022, Percent Perception Intelligence Laboratory, Cognitive Intelligence Laboratory and Data Science Laboratory will be merged and upgraded to "Percent Data Science Research Institute". The research institute is led by Su Meng, chairman and CEO of Baifendian Technology, as the core data scientist, Su Haibo, the chief algorithm scientist of Baifendian, as the dean, and hired Chen Songxi, academician of the Chinese Academy of Sciences, Li Sheng, winner of the ACL Lifetime Achievement Award, Chen Yuxin, director of the Business Department of New York University Shanghai, Wang Hansheng, director of the Business Intelligence Research Center of Peking University, and Du Xiaomeng, deputy dean of the BiMBA Business School of the National Development Research Institute of Peking University, formed the expert committee. Most of the members are doctors and masters from well-known universities at home and abroad. The discipline ecology is complete, covering statistics, computer science, applied mathematics, operations research and optimization, marketing science, mechanism models and other fields. At the same time, it cooperates closely with well-known domestic universities such as Peking University, Central University of Finance and Economics, and People's Public Security University of China to establish a joint laboratory to carry out cooperation in personnel training and subject research, and jointly create a data science ecology integrating production, education, and research.