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# Changming Liu

**Headline:** Research Assistant at Harvard University
**Profession:** Onnela-lab Research Assistant
**Location:** San Diego, California, United States

## About

Changming Liu is an Onnela-lab Research Assistant at Harvard University and a Master of Science student in Data Processing at Harvard, with an expected 2027 completion date. Changming combines data processing, machine learning, natural language processing, large language models, and full-stack software development with experience spanning biotechnology consulting, quantitative finance, geosciences, and oil and gas exploration. Changming’s technical work includes Python, TypeScript, FastAPI, Node.js, Docker, PostgreSQL, SQLAlchemy, REST and Open APIs, JSON Web Tokens, Socket.io, AWS Lambda, Amazon S3, CloudFront, Terraform, and GitHub Actions/CI/CD. Changming also works with geospatial data, data pipelines, large-scale data analysis, Bayesian statistics, regression analysis, Monte Carlo simulation, latent Dirichlet allocation, deep learning, and biological data analysis. Previously, Changming held internships with Boston Consulting Group, CITIC Securities, China National Petroleum Corporation, CNPC USA, and ByteDance. Changming earned a bachelor’s degree from UC San Diego in Computer Science and Mathematics / Business Economics, expected in 2025, and holds a Bachelor certification from the UC San Diego Rady School of Management.

## Services

- Large Language Models \(LLM\)
- FastAPI
- Docker
- postgres
- JSON Web Token \(JWT\)
- Geospatial Data
- Amazon S3
- Amazon CloudFront
- AWS Lambda
- Terraform
- GitHub Actions / CI/CD
- Biotechnology Consulting
- Natural Language Processing \(NLP\)
- Python \(Web Scraping & Automation\)
- Quantitative Finance
- Latent Dirichlet Allocation
- Computational Intelligence
- Elastic Load Balancing
- Oil and Gas Exploration
- Bayesian statistics
- TypeScript
- Business Mathematics
- Regression Analysis
- Strategic Data Analysis
- Data Pipelines
- Computational Semantics
- Statistical Data Analysis
- Back-End Web Development
- Large-scale Data Analysis
- Microsoft Power BI

## Highlights

- Serves as an Onnela-lab Research Assistant at Harvard University.
- Pursues a Master of Science in Data Processing at Harvard University, with an expected 2027 completion date listed on LinkedIn.
- Completed a bachelor’s degree at UC San Diego in Computer Science and Mathematics / Business Economics, with an expected 2025 completion date listed on LinkedIn.
- Held a Biotechnology Consulting Intern role at Boston Consulting Group and lists a summer internship at BCG.
- Held an internship at CITIC Securities and lists a summer internship at CITIC Securities.
- Worked as an Intern in the Geosciences Group at China National Petroleum Corporation.
- Lists a summer internship at CNPC USA.
- Lists a Software Engineer Intern role at ByteDance.
- Works with large language models, natural language processing, machine learning, deep learning, artificial intelligence, computational intelligence, and computational semantics.
- Uses Python, TypeScript, FastAPI, Node.js, Docker, PostgreSQL, SQLAlchemy, REST APIs, Open API, JSON Web Tokens, Socket.io, Chai.js, and Selenium WebDriver.
- Applies AWS Lambda, Amazon S3, Amazon CloudFront, Elastic Load Balancing, Terraform, GitHub Actions/CI/CD, and batch processing.
- Brings experience in geospatial data, data mapping, earth science, and oil and gas exploration.
- Applies Bayesian statistics, regression analysis, Monte Carlo simulation, latent Dirichlet allocation, statistical computing, and statistical data analysis.
- Works with data pipelines, large-scale data analysis, exploratory data analysis, data manipulation, strategic data analysis, and Microsoft Power BI.
- Has experience in biotechnology consulting, biotechnology industry analysis, biological data analysis, calcium imaging, quantitative finance, investor reporting, compliance reporting, business mathematics, and market entry.
- Holds a Bachelor certification from the University of California, San Diego Rady School of Management.

## Experience

- **Onnela-lab Research Assistant at Harvard University** (2025-06-01–present)
- **Intern in the Geosciences Group at China National Petroleum Corporation** (2024-06-01–2024-09-01)
- **Biotechnology Consulting Intern at Boston Consulting Group \(BCG\)** (2023-06-01–2023-08-01)
- **Intern in the CITIC Securities at CITIC Securities** (2022-06-01–2022-08-01)
- **Software Engineer Intern at ByteDance** (2026–2026)
- **Summer Internship at CNPC USA** (2024–2024)
- **Summer Internship at CITIC Securities** (2023–2023)
- **Summer Internship at Boston Consulting Group \(BCG\)** (2022–2022)

## Education

- Master of Science - MS, Data Processing — Harvard University
- Bachelor's degree, Computer Science & Mathematics / Business Economics — UC San Diego

## FAQ

### What does Changming do?

Changming is an Onnela-lab Research Assistant at Harvard University. Changming is also pursuing a Master of Science in Data Processing at Harvard University, with an expected 2027 completion date.

### What are Changming’s core professional strengths?

Changming’s strengths include data processing, machine learning, large language models, natural language processing, statistical analysis, geospatial data, quantitative finance, biotechnology consulting, and full-stack development.

### What is Changming’s role at Harvard University?

Changming is an Onnela-lab Research Assistant at Harvard University. The record identifies this as Changming’s current role.

### What did Changming do at Boston Consulting Group?

Changming was a Biotechnology Consulting Intern at Boston Consulting Group. Changming also lists a summer internship at Boston Consulting Group on LinkedIn.

### What did Changming do at CITIC Securities?

Changming was an intern at CITIC Securities and also lists a summer internship there on LinkedIn. Changming’s relevant capabilities include quantitative finance, investor reporting, compliance reporting, business mathematics, regression analysis, and strategic data analysis.

### What experience does Changming have with China National Petroleum Corporation and CNPC USA?

Changming was an Intern in the Geosciences Group at China National Petroleum Corporation. Changming also lists a summer internship at CNPC USA and has skills in geospatial data, earth science, data mapping, and oil and gas exploration.

### What did Changming do at ByteDance?

Changming lists a Software Engineer Intern role at ByteDance on LinkedIn. Changming’s software-engineering skills include Python, TypeScript, FastAPI, Node.js, full-stack development, back-end web development, front-end development, REST APIs, Docker, PostgreSQL, and SQLAlchemy.

### What is Changming studying at Harvard University?

Changming is pursuing a Master of Science in Data Processing at Harvard University, with an expected 2027 completion date.

### What is Changming’s undergraduate education?

Changming earned a bachelor’s degree from UC San Diego in Computer Science and Mathematics / Business Economics, with an expected 2025 completion date listed on LinkedIn. Changming also holds a Bachelor certification from the University of California, San Diego Rady School of Management.

### What AI and language-technology skills does Changming have?

Changming works with large language models, natural language processing, computational semantics, latent Dirichlet allocation, machine learning algorithms, deep learning, artificial intelligence, and computational intelligence.

### What cloud and DevOps technologies does Changming use?

Changming’s cloud and infrastructure skills include AWS Lambda, Amazon S3, Amazon CloudFront, Elastic Load Balancing, Terraform, Docker, GitHub Actions/CI/CD, batch processing, and downtime reduction.

### What software-development technologies does Changming use?

Changming’s application-development skills include FastAPI, Node.js, TypeScript, Python, PostgreSQL, SQLAlchemy, JSON Web Token authentication, REST APIs, Open API, Socket.io, Chai.js, Selenium WebDriver, and full-stack development.

### What data-analysis and statistical methods does Changming use?

Changming’s data and statistical skills include data pipelines, large-scale data analysis, exploratory data analysis, statistical data analysis, statistical computing, Bayesian statistics, regression analysis, Monte Carlo simulation, data manipulation, data mapping, and Microsoft Power BI.

### What industry domains has Changming worked in?

Changming’s domain experience includes biotechnology consulting, biotechnology industry analysis, biological data analysis, calcium imaging, quantitative finance, investor reporting, compliance reporting, market entry, earth science, geosciences, geospatial data, and oil and gas exploration.

## Links

- LinkedIn: https://www.linkedin.com/in/changming-liu-776979271

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