Liechen Huang

I work across research, data, and strategy to make complex public problems easier to act on.

Labour Market Research · Economic Development · Urban Policy · Public-Sector Strategy · Program Evaluation · Market Intelligence

Based in Toronto · Open to relocation

Selected Projects
Selection workflow Method overview

Screen occupations first. Compare industries only after the bridge.

Ecosystem evidence map Strategic research case study

From business and investment signals to bounded strategic options.

Evidence layers Public-safe case reconstruction

From citywide goals to targeted engagement decisions.

Interactive labour-market dashboard Power BI
Power BI dashboard comparing vacancy trends across AI exposure profiles in the Toronto Economic Region.

Comparing vacancy declines across three AI exposure profiles.

Experiments

Applied AI Experiments

Applied AI and automation experiments addressing practical research, communication, and information-management problems.

Agent orchestration · bounded tool calling Public-safe reconstruction

The agent selects bounded analytical tools, retrieves project evidence, and returns a traceable answer with sources and caveats.

View all experiments

Working Pattern

From an unclear question to a usable decision path.

01

Frame

Turn a broad policy or business issue into a focused question.

02

Organize

Clean data, review context, compare evidence, and record assumptions.

03

Interpret

Make tradeoffs, limitations, and decision criteria visible.

04

Communicate

Build concise outputs that help other people decide what to do next.

About

I am Liechen Huang.

My work spans public-sector consulting, economic development, labour-market intelligence, municipal strategy, and applied research across Canada and China. With a Master of Urban Innovation, I combine quantitative and qualitative analysis with client-ready communication, while exploring how AI can improve research and decision-making.

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