POSITION/TITLE

SRIBD Research Scientist

RESEARCH FIELD

Time series, Econometric modeling, Machine learning

EMAIL

shandai@sribd.cn

EDUCATION BACKGROUND

Ph.D. in The Chinese University of Hong Kong

Bachelor’s degree in University of Science and Technology of China

Major Achievements/Honors

Overseas High-Caliber Personnel, Shenzhen

Overseas Research Award In The Chinese University of Hong Kong

Outstanding Graduate In University of Science and Technology of China

BIOGRAPHY

Dr. Shan Dai is currently a research scientist in Shenzhen Research Institute of Big Data. His main research interests include time series, econometric modeling and machine learning related theory and practice. He received a Bachelor's degree in Science from University of Science and Technology of China, a Ph.D. degree in Statistics from The Chinese University of Hong Kong. He was also recognized as an Overseas High-Caliber Personnel (Shenzhen). He has published several peer-reviewed papers on statistical journals and machine learning conferences including Journal of Time Series Analysis and Proceedings of the Winter Simulation Conference, and got several patents granted and accepted. Dai is currently the PI of a Shenzhen Excellent Science and Technology Innovation Talents Cultivation Project (PhD Start-Up).

SELECTED PUBLICATIONS (*denotes corresponding author)

  • Dai, S. and Chan, N.H.* (2023). Testing of Constant Parameters for Semi-Parametric Functional Coefficient Models with Integrated Covariates. J. Time Ser. Anal., 44: 474-486.
  • Zhang, M., Liu, G., Dai, S.*, He, Y. (2023). Input Uncertainty Quantification Via Simulation Bootstrapping. Proceedings of the 2023 Winter Simulation Conference (WSC). Accepted.

POSITION/TITLE

Data Scientist

EDUCATION BACKGROUND

Bachelor in Applied Mathematics at Peking University

RESEARCH INTEREST

administrative law, judicial reform

EMAIL

zhangyuxia@sribd.cn

MAJOR ACHIEVEMENTS/HONOR

Worked as consultants and investment directors in leading companies including KPMG, BGI, Country Garden, etc.; experience in start-up in the field of artificial intelligence; experience in the requirement analysis and construction for application systems.

BIOGRAPHY

Zhang Yuxia graduated from the Department of Applied Mathematics at Peking University. He currently serves as a data scientist at Shenzhen Research Institute of Big Data and is responsible for the construction of the large-scale legal database. He has worked as consultants and investment directors in leading companies including KPMG, BGI, Country Garden, etc.; and has gained rich experience in start-up in the field of artificial intelligence as well as experience in the requirement analysis and construction for application

POSITION/TITLE

Data Scientist

EDUCATION BACKGROUND

Bachelor in Applied Mathematics at Peking University

RESEARCH INTEREST

administrative law, judicial reform

EMAIL

zhangyuxia@sribd.cn

MAJOR ACHIEVEMENTS/HONOR

Worked as consultants and investment directors in leading companies including KPMG, BGI, Country Garden, etc.; experience in start-up in the field of artificial intelligence; experience in the requirement analysis and construction for application systems.

BIOGRAPHY

Zhang Yuxia graduated from the Department of Applied Mathematics at Peking University. He currently serves as a data scientist at Shenzhen Research Institute of Big Data and is responsible for the construction of the large-scale legal database. He has worked as consultants and investment directors in leading companies including KPMG, BGI, Country Garden, etc.; and has gained rich experience in start-up in the field of artificial intelligence as well as experience in the requirement analysis and construction for application

POSITION/TITLE

Data Scientist

EDUCATION BACKGROUND

Bachelor in Applied Mathematics at Peking University

RESEARCH INTEREST

administrative law, judicial reform

EMAIL

zhangyuxia@sribd.cn

MAJOR ACHIEVEMENTS/HONOR

Worked as consultants and investment directors in leading companies including KPMG, BGI, Country Garden, etc.; experience in start-up in the field of artificial intelligence; experience in the requirement analysis and construction for application systems.

BIOGRAPHY

Zhang Yuxia graduated from the Department of Applied Mathematics at Peking University. He currently serves as a data scientist at Shenzhen Research Institute of Big Data and is responsible for the construction of the large-scale legal database. He has worked as consultants and investment directors in leading companies including KPMG, BGI, Country Garden, etc.; and has gained rich experience in start-up in the field of artificial intelligence as well as experience in the requirement analysis and construction for application

POSITION/TITLE

Data Scientist

EDUCATION BACKGROUND

Bachelor in Applied Mathematics at Peking University

RESEARCH INTEREST

administrative law, judicial reform

EMAIL

zhangyuxia@sribd.cn

MAJOR ACHIEVEMENTS/HONOR

Worked as consultants and investment directors in leading companies including KPMG, BGI, Country Garden, etc.; experience in start-up in the field of artificial intelligence; experience in the requirement analysis and construction for application systems.

BIOGRAPHY

Zhang Yuxia graduated from the Department of Applied Mathematics at Peking University. He currently serves as a data scientist at Shenzhen Research Institute of Big Data and is responsible for the construction of the large-scale legal database. He has worked as consultants and investment directors in leading companies including KPMG, BGI, Country Garden, etc.; and has gained rich experience in start-up in the field of artificial intelligence as well as experience in the requirement analysis and construction for application

Title/Position

SRIBD Engineer

Research Area:

Big Data Analytics, Machine Learning, Data Mining

Email

shuhanwu@sribd.cn

Educational Background

Master of Science in Statistics, The University of Hong Kong

Bachelor of Science in Statistics, The Chinese University of Hong Kong

Personal Introduction

Govern, integrate, and analyze government data for policy evaluation, industry research, and demographic profiling by using fundamental statistical theory and methods, combined with big data analytics techniques such as machine learning and data mining

Have excellent report writing and data visualization skills. Have assisted companies in completing industry research, customer research, and other research reports. Could independently develop BI dashboards and create visual displays for data.

Title/Position

SRIBD Engineer

Research Area:

Big Data Analytics, Machine Learning, Data Mining

Email

shuhanwu@sribd.cn

Educational Background

Master of Science in Statistics, The University of Hong Kong

Bachelor of Science in Statistics, The Chinese University of Hong Kong

Personal Introduction

Govern, integrate, and analyze government data for policy evaluation, industry research, and demographic profiling by using fundamental statistical theory and methods, combined with big data analytics techniques such as machine learning and data mining

Have excellent report writing and data visualization skills. Have assisted companies in completing industry research, customer research, and other research reports. Could independently develop BI dashboards and create visual displays for data.

Title/Position

SRIBD Engineer

Research Area:

Big Data Analytics, Machine Learning, Data Mining

Email

shuhanwu@sribd.cn

Educational Background

Master of Science in Statistics, The University of Hong Kong

Bachelor of Science in Statistics, The Chinese University of Hong Kong

Personal Introduction

Govern, integrate, and analyze government data for policy evaluation, industry research, and demographic profiling by using fundamental statistical theory and methods, combined with big data analytics techniques such as machine learning and data mining

Have excellent report writing and data visualization skills. Have assisted companies in completing industry research, customer research, and other research reports. Could independently develop BI dashboards and create visual displays for data.

Title/Position

SRIBD Engineer

Research Area:

Big Data Analytics, Machine Learning, Data Mining

Email

shuhanwu@sribd.cn

Educational Background

Master of Science in Statistics, The University of Hong Kong

Bachelor of Science in Statistics, The Chinese University of Hong Kong

Personal Introduction

Govern, integrate, and analyze government data for policy evaluation, industry research, and demographic profiling by using fundamental statistical theory and methods, combined with big data analytics techniques such as machine learning and data mining

Have excellent report writing and data visualization skills. Have assisted companies in completing industry research, customer research, and other research reports. Could independently develop BI dashboards and create visual displays for data.

POSITION/TITLE

SRIBD: Data Engineer

RESEARCH FIELD

development of law popularization software project, development and maintenance of large-scale legal database 

EMAIL

wangtianxiang@163.com

EDUCATION BACKGROUND

Master in Software Engineering from Nanchang University; Bachelor in Electronic Information Engineering from Huanggang Normal University 

BIOGRAPHY

Wang Tianxiang currently works as a data engineer at the Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data, mainly responsible for the development and maintenance of large-scale legal databases. Before joining SRIBD, he served as a senior Android engineer in Xiaotiancai with many years of front-end and system development experience, and mastered mainstream front-end and back-end related technologies such as java, Python, Android, TensorFlow, gitlab, MySQL, and clickhouse.

POSITION/TITLE

SRIBD: Data Engineer

RESEARCH FIELD

development of law popularization software project, development and maintenance of large-scale legal database 

EMAIL

wangtianxiang@163.com

EDUCATION BACKGROUND

Master in Software Engineering from Nanchang University; Bachelor in Electronic Information Engineering from Huanggang Normal University 

BIOGRAPHY

Wang Tianxiang currently works as a data engineer at the Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data, mainly responsible for the development and maintenance of large-scale legal databases. Before joining SRIBD, he served as a senior Android engineer in Xiaotiancai with many years of front-end and system development experience, and mastered mainstream front-end and back-end related technologies such as java, Python, Android, TensorFlow, gitlab, MySQL, and clickhouse.

POSITION/TITLE

SRIBD: Data Engineer

RESEARCH FIELD

development of law popularization software project, development and maintenance of large-scale legal database 

EMAIL

wangtianxiang@163.com

EDUCATION BACKGROUND

Master in Software Engineering from Nanchang University; Bachelor in Electronic Information Engineering from Huanggang Normal University 

BIOGRAPHY

Wang Tianxiang currently works as a data engineer at the Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data, mainly responsible for the development and maintenance of large-scale legal databases. Before joining SRIBD, he served as a senior Android engineer in Xiaotiancai with many years of front-end and system development experience, and mastered mainstream front-end and back-end related technologies such as java, Python, Android, TensorFlow, gitlab, MySQL, and clickhouse.

POSITION/TITLE

SRIBD: Data Engineer

RESEARCH FIELD

development of law popularization software project, development and maintenance of large-scale legal database 

EMAIL

wangtianxiang@163.com

EDUCATION BACKGROUND

Master in Software Engineering from Nanchang University; Bachelor in Electronic Information Engineering from Huanggang Normal University 

BIOGRAPHY

Wang Tianxiang currently works as a data engineer at the Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data, mainly responsible for the development and maintenance of large-scale legal databases. Before joining SRIBD, he served as a senior Android engineer in Xiaotiancai with many years of front-end and system development experience, and mastered mainstream front-end and back-end related technologies such as java, Python, Android, TensorFlow, gitlab, MySQL, and clickhouse.

POSITION/TITLE

SRIBD Data Engineer

RESEARCH FIELD

Law popularization software project development and big data mining of legal documents 

EMAIL

sealong_soon@163.com

EDUCATION BACKGROUND

Master in Software Engineering at Nanchang University with concentration in big data mining;

Bachelor in Computer Science and Technology at Jiangxi University of Traditional Chinese Medicine with concentration in medical software development

BIOGRAPHY

Xiong Xiliang serves as a data engineer at the Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data, mainly responsible for the development and maintenance of large-scale legal databases. Before joining SRIBD, he served as a project development engineer at Dafu Technology. He has many years of experience in back-end project development and masters mainstream front-end and back-end related technologies such as C#, Java, Python, node.js, Vue.js, Elasticsearch, MySQL, SQL Server, PostgreSQL, etc.

POSITION/TITLE

SRIBD Data Engineer

RESEARCH FIELD

Law popularization software project development and big data mining of legal documents 

EMAIL

sealong_soon@163.com

EDUCATION BACKGROUND

Master in Software Engineering at Nanchang University with concentration in big data mining;

Bachelor in Computer Science and Technology at Jiangxi University of Traditional Chinese Medicine with concentration in medical software development

BIOGRAPHY

Xiong Xiliang serves as a data engineer at the Social Behavior Big Data Lab at Shenzhen Research Institute of Big Data, mainly responsible for the development and maintenance of large-scale legal databases. Before joining SRIBD, he served as a project development engineer at Dafu Technology. He has many years of experience in back-end project development and masters mainstream front-end and back-end related technologies such as C#, Java, Python, node.js, Vue.js, Elasticsearch, MySQL, SQL Server, PostgreSQL, etc.