Hi, I'm Siyao Zhang

An economist who
builds things.

I study how systems work — energy markets, supply chains, labour dynamics — and I use code to make sense of them. Based in Paris, thinking globally.

Quantitative Modelling Energy Economics Python & ML Paris · Beijing · Tokyo
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I love figuring out how systems work — why electricity prices spike, how supply chains absorb shocks, what happens when robots enter a labour market. I'm an M2 economist at Panthéon-Sorbonne with a dual degree in Finance from UIBE Beijing, and I think the most interesting problems sit at the intersection of economics, data, and real-world complexity.

What sets me apart is that I don't just analyse — I build. Whether it's a dispatch optimisation model in Python, a deep learning forecaster for electricity demand, or a labour market exposure index, I want to go from question to working tool. I'm also a believer in learning by doing: I picked up vibe coding to expand how I think and create, and I bring that same curiosity to everything.

Outside of economics, I coordinated 100+ volunteer programmes (including operations for the 2022 Beijing Winter Olympics), founded a digital platform reaching 2,000+ subscribers, and I speak four languages across three continents. I'm always looking for the next thing that stretches how I think.

Currently

M2 Sustainable Development Economics
Université Paris 1 Panthéon-Sorbonne
Seeking a June 2026 internship

Focus Areas

Energy transition · Industrial AI · Emerging markets · Autonomous systems & robotics

Languages

Chinese — Native English — C1 Japanese — JLPT N2 French — Conversational

Things I've built & researched

Each project started with a question I wanted to answer — and turned into something I could actually use.

Research · NLP 2025

Robotics Exposure Index for European Labour Markets

Big Data for Development — Group research, Panthéon-Sorbonne

Built an exposure index measuring how susceptible European occupations are to robotics adoption, using Latent Semantic Analysis on patent and job description corpora. Found that middle-wage, routine-task occupations face the greatest automation risk — consistent with labour market polarisation theory.

Key result: A one standard deviation increase in robotics exposure is associated with a 7.2% decrease in mean hourly wages (β = −0.072, p < 0.001) across 34 European countries.
Python LSA NLP LightGBM SHAP OLS
Leadership · Platform 2021 – 2023

Digital Outreach Platform & Volunteer Operations

Independent Initiative — Beijing

Founded and managed a digital content platform that scaled to 2,000+ subscribers. Led coordination of 100+ volunteer programmes, including operations training for the 2022 Beijing Winter Olympics. Oversaw content strategy and stakeholder communications.

Content Strategy Operations Leadership
Equity Research 2023 – 2024

Healthcare Equity Research

Guosheng Securities — Beijing

Conducted quantitative analysis of pharmaceutical pricing and reimbursement policy. Contributed to analytical reports synthesising regulatory impact assessments for internal publication and client-facing research.

Excel Financial Modelling Policy Analysis

What I work with

Quantitative Modelling

From demand forecasting to supply chain optimisation — turning messy real-world problems into structured models.

Econometrics Time-Series ARIMA / SARIMA LSTM TFT Optimisation Scenario Modelling

Programming & Data

Python-first, but comfortable across the data stack. I write code to answer questions, not just to write code.

Python pandas scikit-learn Pyomo NumPy statsmodels SQL Stata LaTeX

Thinking & Communication

Four languages, three continents, one goal: make complex ideas clear and actionable for any audience.

Research Design Policy Analysis Report Writing Team Leadership Cross-cultural

Where I've studied

2025 – 2026

M2 — Sustainable Development Economics

Université Paris 1 Panthéon-Sorbonne · Dual Degree in Finance, UIBE Beijing

Professional track. Coursework in Big Data for Development (image & text analysis in Python), Econometrics & Impact Analysis, International Climate, Industrial Development & Finance.

CSC Scholarship
2024 – 2025

M1 — Economics (PSME) — Development Track

Université Paris 1 Panthéon-Sorbonne

Overall grade: 14.3/20 (Bien) · Microeconomics: 19.1/20. Master's thesis on trade credit, risk sharing, and inventory financing — Stackelberg equilibrium analysis.

Microeconomics: 19.1/20
2023 – 2024

Exchange Year — Waseda University

Tokyo, Japan

Full-year exchange during B.Sc. Coursework conducted in Japanese and English, covering economics and international relations.

JLPT N2 · Full immersion
2020 – 2024

B.Sc. — Economics & Japanese (Dual Degree)

University of International Business and Economics (UIBE), Beijing

Dual degree combining economics with Japanese language and culture. Includes a one-year exchange at Waseda University, Tokyo.

Dual Degree

Let's connect

I'm looking for a June 2026 internship in energy economics or strategy consulting. Or just say hello — I'd love to hear from you.