AI Innovation Center

Committed to researching cutting-edge technology & integrating it with business

empowering financial business with artificial intelligence technology, fully serving financial customers

The AI Lab

Get Started with the Journey to Intelligent Finance

The AI Lab

The R&D guideline of Suoxinda AI Lab comprises 1 core and 3 pillars. The core is to develop a model factory (modern production line for data analysis and modeling) for the financial industry. And the 3 pillars for commercial application refer to innovation-oriented (model automata machine - automated machine learning, model interpreter - interpretable machine learning, micro-segmentation divider - customer micro-segmentation, finite state machine - augmented learning), applicability-oriented (feature platform, model management platform), and capability-oriented (training system for leading analysts). This is an inexhaustible source of creativity and growth for our clients in the financial sector.

Research projects of Suoxinda AI Lab are closely aligned to financial practices. In response to the business needs and scenarios of the financial industry, it explores cutting-edge AI technologies and their application, including intelligent marketing, intelligent risk control and intelligent decision making. Its development outcomes have generated quick wins in financial scenarios, helping clients improve performance, efficiency and customer experience at lower cost and risks.


Core Members

Core Research Team

Cao Xinjian

M.S., Dalian University of Technology
VP

Zhang Lei

Ph.D. in applied computer science, China Academy of Sciences
Chief Scientist

Shao Ping

M.S. in probability and mathematical statistics, Jinan University
Senior Data Scientist

Shao Jun

Ph.D. in Engineering, Clermont-Ferrand Second University
Data Scientist

Li JunQi

Ph.D. in finance,Durham University
Data Scientist

Wang YouPing

Ph.D. in physics,Chinese Academy of Sciences
Data Scientist

Lu Linlin

Ph.D. in Science, Peking University
Data Scientist, Suoxinda

Zhou Ju

M.S., Shenyang Aerospace University
Data Scientist

Hong Cheng

M.S., The University of Nebraska
Data Scientist

Li Yue

M.S. in Data driven modeling,HKUST
Data Scientist

Wu Yujiao

Ph.D. in biomedical engineering,UTS
Data Scientist

Su Sida

M.S. in Statistics,Temple University
Data Scientist

The "1+3" R&D System: One Core & Three Pillars

R & D System

Research Reports

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