2017–Present

I have led research and development in the ICT and financial sectors, serving as CTO for five years. My work spans economics, business administration, financial engineering, information science, artificial intelligence, healthcare, meteorology, and the SDGs. I possess strong expertise in big data analytics, AI-based forecasting, mathematical and probabilistic modeling, and computer vision, with a focus on practical applications to economic and social challenges.
My specialties include artificial intelligence, machine learning, natural language processing, data mining, mathematical modeling, human-computer interaction (HCI), VR/AR, 3D user interfaces, computer-supported cooperative work (CSCW), context awareness, human chips, and intelligent detection. I also have experience integrating animation, computer graphics, and design, emphasizing the fusion of technology and creativity.

Professional and Research Achievements

Building on my educational and professional experiences in China and Japan, I have developed research that integrates economics and information science. I have engaged in economic and policy analysis using public-private data collaboration, the construction of AI-based economic forecasting models, and the advancement of statistical analysis. At Goldman Sachs, I worked as a Quant, applying probabilistic models, Monte Carlo methods, and machine learning for financial risk assessment. Currently, I am engaged in the development of econometric methods using state-space models, Bayesian estimation, and AI, with applications in robotics, healthcare, meteorology, disaster prevention, and the SDGs.

Summary of Professional Experience and Areas of Expertise

I have been engaged in professional practice and research across economics, finance, healthcare, environment, robotics, and meteorology, applying AI and data analytics.

1. Economic and Data Analysis

   • Conducted analyses of international financial markets and macroeconomic dynamics.

   • Applied Python for data processing and visualization, and EViews, Stata, and MATLAB for regression and time-series analysis.

   • Evaluated economic policies using causal inference methods such as DID, PSM, and IV, integrating mathematical models and big data for social problem analysis.

2. Finance

   • Developed financial risk management frameworks and algorithmic trading models.

   • Performed data processing and statistical analysis in Python.

   • In collaboration with Goldman Sachs, supported the implementation of portfolio optimization models and derivatives pricing models.

3. Healthcare

   • Developed AI systems to assist in the diagnosis of autism spectrum disorder (ASD) and depression.

   • Utilized large language models (LLMs) and natural language processing (NLP) to extract diagnostic support information from conversational data, contributing to reducing the burden on clinical practice and improving quality of care.

4. Green SDGs

   • Built optimization models for renewable energy systems and environmental monitoring platforms using IoT sensor data.

   • Applied optimization algorithms to improve energy efficiency and reduce environmental impact.

5. Robotics

   • Designed interactive robots combining speech and language processing, image recognition, and multimodal AI.

   • Promoted applications in education, caregiving, and guidance services.

6. Meteorology

   • Developed high-precision typhoon and heavy-rainfall forecasting models using GNSS/GPS data analysis.

   • Supported implementations in disaster prevention policies and the energy sector.