Research Profile

About

Po-Sung (Sinclair) Huang is a senior industry executive, independent researcher, and advisor with over 30 years of cross-industry leadership experience spanning materials, chemicals, electronics, and life sciences.

Throughout his career, he has served in senior roles including CFO, Executive Vice President, and General Manager in publicly listed companies. His experience has been shaped by the intersection of finance, strategy, operations, technology, and industrial transformation, with long exposure to cross-border management and complex decision-making in highly competitive environments.

He holds an Executive Doctorate in Business Administration (EDBA) from HEC Liège. His current work focuses on AI, semiconductors, advanced materials, industrial competitiveness, and capital allocation. Rather than approaching AI primarily as a model-building discipline, his research examines how AI reshapes industrial structure, value distribution, and strategic positioning in the real economy.

Through writing, research platforms, and long-term knowledge-building initiatives, he is developing a body of work that connects technical understanding, managerial judgment, and strategic insight.

Professional Background

With over three decades of experience across multiple industries, Huang brings a rare combination of executive leadership, strategic finance, operational judgment, and industrial perspective.

His career has included senior leadership responsibilities in publicly listed companies, where he worked across financial management, business transformation, organizational integration, and long-cycle industrial strategy. This background continues to inform his current research and advisory perspective.

Research Focus

His current research centers on four closely connected areas:

AI, Industrial Structure, and Capital Allocation Understanding how AI changes value distribution, competitive dynamics, and investment logic across industries.

Semiconductors and Infrastructure Strategy Examining the role of compute, packaging, supply-chain bottlenecks, and industrial capacity in shaping the AI economy.

Advanced Materials and Industrial Transformation Studying how materials innovation, manufacturing capability, and process economics interact with broader industrial change.

AI-Enabled Biological Systems Modeling Exploring computational and conceptual applications of AI in life-science research in non-clinical, non-medical contexts.

Research Identity

Research Platforms: SSRN · Zenodo · Research Square · ORCID · Medium

Note: Research involving biological systems is conducted at a computational and conceptual level and does not constitute clinical or medical practice.

關於我

黃柏松（Po-Sung / Sinclair Huang）是一位資深產業經營者、獨立研究者與產業顧問，擁有逾三十年橫跨材料、化工、電子與生命科學等領域的高階管理與跨產業經驗。

其職涯歷任上市公司財務長、執行副總與總經理，長期工作於財務、策略、營運、技術與產業轉型的交會點，並累積了跨國管理、複雜決策與高度競爭環境中的實務判斷。

他擁有比利時 HEC Liège 企業管理高階博士學位（EDBA）。目前的研究與寫作聚焦於 AI、半導體、先進材料、產業競爭力與資本配置。

透過寫作、研究平台與長期知識建構計畫，他正逐步發展一套連結技術理解、管理判斷與策略洞察的知識體系。

研究主軸： AI 與產業結構｜半導體與基礎設施策略｜先進材料與產業轉型｜AI 賦能的生物系統建模