DATA SCIENCE / ECONOMICS

Mingzhang (Joey) Qiao

Data Scientist · Causal Inference, Machine Learning & Statistical Modeling

Economics Ph.D. candidate at Syracuse University and M.S. in Analytics candidate at Georgia Tech, working across causal inference, panel econometrics, and applied machine learning.

Resume

Expertise

01 / METHODS

Causal Inference

Observational causal analysis, difference-in-differences, and causal forests to study heterogeneous treatment effects.

02 / SYSTEMS

Machine Learning & LLMs

NLP, semantic search, and retrieval-augmented generation for large-scale talent data.

03 / ANALYSIS

Statistical Modeling & Risk

Panel-data inference, survival analysis, time-series methods, and financial market research.

Selected Work

Research projects and applied data science work

Job Loss & Mental Health

Used German SOEP panel data (2002–2024), difference-in-differences, and causal forests to estimate how job loss affects mental health across demographic groups.

Causal forests

SOEP

Job Loss & Mental Health

Used German SOEP panel data (2002–2024), difference-in-differences, and causal forests to estimate how job loss affects mental health across demographic groups.

Causal forests

SOEP

Reemployment After Injury

Studied return-to-work dynamics after injury-induced unemployment with survival models, including Weibull and Prentice–Gloeckler approaches.

Survival analysis

GAUSS

Stata

Reemployment After Injury

Studied return-to-work dynamics after injury-induced unemployment with survival models, including Weibull and Prentice–Gloeckler approaches.

Survival analysis

GAUSS

Stata

Cluster-Robust Panel Inference

Developed a weighted estimator for extremely unbalanced panels and tested finite-sample performance through Monte Carlo simulations in MATLAB.

Econometrics

Panel data

MATLAB

Cluster-Robust Panel Inference

Developed a weighted estimator for extremely unbalanced panels and tested finite-sample performance through Monte Carlo simulations in MATLAB.

Econometrics

Panel data

MATLAB

Semantic Talent Search

At DeveloperDB, structured 400K+ talent profiles and built embedding-based matching and RAG workflows with Weaviate and the OpenAI API.

NLP

RAG

Python

Semantic Talent Search

At DeveloperDB, structured 400K+ talent profiles and built embedding-based matching and RAG workflows with Weaviate and the OpenAI API.

NLP

RAG

Python

Experience

Data science and finance internships

Data Scientist Intern

DeveloperDB · Sunnyvale, California

Jul–Nov 2025

Financial Analyst Intern

Bank of China International · Beijing, China

Jul–Sep 2024

Financial Analyst Intern

Citibank · Nanjing, China

Jul–Aug 2017

Education

Ph.D. in Economics

Syracuse University

Expected Dec 2026

M.S. in Analytics

Georgia Institute of Technology

Expected Dec 2026

M.S. in Economics

University of Wisconsin–Madison

May 2021

B.S. in Economics

Jilin University

Jun 2019