GUO LONG PhD

Bio

I am Guo Long, currently a doctoral student at the Graduate School of International Public Policy, Osaka University.
My research lies at the intersection of economics, public policy, and international development, with a particular emphasis on development economics. I specialize in development economics and international economics, conducting research to identify the root causes of poverty in developing countries and to explore effective policies for sustainable economic growth. As globalization advances, the impact of one nation’s policies on others can no longer be overlooked. Thus, economic development in developing countries increasingly requires international policy coordination and the adjustment of national interests.

For example, promoting industrialization in developing countries often results in higher greenhouse gas emissions. In such cases, cooperative approaches may be proposed—such as those exemplified by the Clean Development Mechanism (CDM), where advanced countries with emission reduction obligations support the introduction of low-emission technologies, enabling developing countries to pursue industrialization while mitigating environmental impacts.

My research seeks to uncover the driving forces behind aggregate variables such as GDP, consumption, inflation, trade, and exchange rates. Within the fields of macroeconomics and international economics, I analyze how these aggregates are determined, beginning with the behavior of households, firms, governments, and financial institutions.

I focus particularly on the intersection of macroeconomics—with an emphasis on business cycles and economic growth—and international economics, which addresses trade and international finance. My work integrates both theoretical and empirical analyses of macroeconomics, international trade, monetary policy, and economic development.

I am pursuing a career that applies statistics and econometrics, and I am currently engaged in research under the Innovative Low Food Loss Co-Creation Hub Program (Food DX). My work relates to the project “Empirical Analysis of Vertical Spillovers and Induced Innovation in International Production Networks under Product Safety Regulations”, with a specific focus on evaluating the costs and benefits of introducing food loss reduction technologies into international supply chains.

Globally, it is estimated that about one-third of food that is still edible is discarded, making food loss a pressing issue. In my study, I focused on bananas and applied a conjoint analysis, an econometric method, to measure consumers’ willingness to pay a price premium for products from companies that actively work to reduce food loss. The results revealed that while consumers do show positive evaluation, the magnitude of this premium is relatively limited, indicating that public awareness of food loss in Japan is not yet particularly strong.

A high consumer price premium would provide economic incentives for producers and suppliers, thereby encouraging food loss reduction across the entire supply chain. Looking ahead, I plan to expand my research to include not only consumers but also producers and suppliers, analyzing the comprehensive costs and benefits of adopting food loss reduction technologies. My aim is to assess whether a sustainable system can emerge across supply chains even without direct government intervention.

This research is conducted in collaboration with the Graduate School of Engineering at Osaka University, combining the strengths of economics and engineering, particularly biotechnology. Engineering researchers contribute in-depth expertise in specific technologies such as freshness preservation, while economics provides a broader perspective on how these technologies affect supply chains and consumer evaluation. I believe this interdisciplinary collaboration has produced highly positive outcomes.

In the field of development economics, which is my area of specialization, research themes are diverse, reflecting the complex challenges faced by developing countries. Examples include the economic impact of refugees on host-country labor markets, the effects of natural disasters and global warming on poverty, and the influence of China’s environmental policies on its economic performance. Through such studies, I seek to explore economic prescriptions for addressing the urgent challenges faced by developing nations.

Education

January 2018 – July 2020:
Changchun University of Science and Technology, School of Business Administration (Management)
Bachelor of Management
April 2023 – March 2025 (expected):
Osaka University of Economics, Graduate School of Economics, Master’s Program
Master of Economics
April 2026 – March 2029 (expected):
Osaka University, Graduate School of International Public Policy, Doctoral Program
Ph.D. in Economics
From April 2026:
Enrolled in Osaka University’s advanced minor programs, including:
- Finance and Insurance Program
- Mathematical Modeling Program
- Human Resource Development Program for Intellectual Property Law
- Advanced Minor Program for Secure Data Utilization and Security Human Resource Development

Employment

Professional Profile

Worked as CTO in research and development in the ICT and financial sectors.
My expertise spans economics, management, financial engineering, informatics, AI, robotics, healthcare, meteorology, and SDGs.
I have strong skills in big data analytics, AI forecasting, computer vision, and mathematical modeling.

Areas of Professional Expertise
Artificial Intelligence, Computer Vision, Machine Learning, Data Mining, Mathematical Modeling, Probabilistic Models, Data Science, Human-Computer Interaction (HCI), Human-in-the-Loop Systems, and Intelligent Detection.
I am also deeply interested in advanced interaction technologies, including Virtual Reality (VR), Augmented Reality (AR), Human Augmentation, 3D User Interfaces, Computer-Supported Cooperative Work (CSCW), and Context Awareness.
In addition, I conduct applied research in social sciences, economics, finance, and management, while also engaging broadly in animation, live-action, computer graphics (CG), art, and design.

Practical Experience
Served as CTO for five years at an ICT company, gaining extensive experience in research and development in ICT and finance.
Leveraging educational and professional experiences in both China and Japan, I conduct applied research that integrates economics and informatics.
My key interests include big data analytics, AI-based forecasting models, and public-private data collaboration, with applications to policy and economic trend analysis.
At Goldman Sachs, I worked on quantitative finance tasks, focusing on probabilistic models, Monte Carlo methods, and machine learning for financial risk evaluation.
Currently, I am researching econometric methods using state-space models, Bayesian estimation, and AI, aiming to advance economic forecasting and statistical analysis.
I also have strengths in natural language processing and mathematical modeling, and extend my research applications to AI, robotics, healthcare, meteorology, and SDGs.

List of Professional Experience at HOC Intelligent Technology Co., Ltd.

1. Economic & Data Analysis

Conducted analysis of international financial markets and macroeconomics.
Performed data cleansing, visualization, and modeling using Python.
Applied regression and time-series analysis with EViews, Stata, and MATLAB.
Evaluated economic policies using causal inference methods (DID, PSM, IV).
Integrated mathematical modeling and big data analytics to develop policy recommendations and analyze social issues.
Key Skills: Python, EViews, Stata, MATLAB, Causal Inference, Time-Series Analysis, Economic Modeling

2. Finance & Quantitative Modeling

Designed and developed financial risk management and algorithmic trading models.
Conducted remote financial data processing and statistical analysis with Python.
Supported implementation of portfolio optimization models and derivatives pricing models in collaboration with Goldman Sachs.
Key Skills: Portfolio Optimization, Derivatives Pricing, Risk Management, Remote Python Development

3. Healthcare & AI in Medical Diagnosis

Researched and developed AI diagnostic support systems for Autism Spectrum Disorder (ASD) and depression.
Utilized LLMs (Large Language Models) and NLP (Natural Language Processing) to extract diagnostic insights from conversational data.
Contributed to reducing physicians’ workloads and improving the quality of patient care.
Key Skills: Generative AI, Large Language Models (LLM), Natural Language Processing (NLP), Clinical Support Systems

4. Green Energy & SDGs

Developed optimization models for renewable energy systems to reduce environmental impact.
Improved energy efficiency through optimization algorithms.
Built real-time monitoring systems for air and water quality using IoT sensor data.
Key Skills: Optimization Algorithms, Environmental Monitoring, Renewable Energy Systems, IoT

5. Robotics & System Development

Designed and developed AI systems for interactive robots coexisting with humans.
Integrated speech processing, image recognition, and multimodal learning to enable natural human-robot interaction.
Promoted applications in education, elderly care, and guidance services.
Key Skills: Human-Robot Interaction, NLP, Speech Recognition, Image Processing, Multimodal AI

6. Meteorological Forecasting

Developed high-precision forecasting models for natural disasters such as typhoons and heavy rainfall.
Improved short-term forecasting accuracy through real-time analysis of GPS/GNSS data.
Supported implementation in the energy industry and disaster risk reduction policies.
Key Skills: Meteorological Modeling, AI-based Forecasting, GNSS/GPS Data Analysis, Disaster Risk Reduction

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