Mathematical Modeling in Practice

Turning competition awards into explainable skill evidence: problem abstraction, model construction, data processing, algorithm solving, and paper writing.

CUMCM Provincial 1stMCM/ICM H Award ×2MathorCup Regional 2nd

Material path

Move from modeling skills to evidence and resume

This page explains the skill formation process. The next step is to verify certificates, review projects, or open the one-page resume.

Back to projects Review modeling, website, and ChemAI Lab together Open certificates Check awards and activity evidence One-page resume Print, save as PDF, or use for applications

Skill Positioning

For Graduate School

Demonstrates mathematical foundations, research communication, English writing, and interdisciplinary modeling.

For Career

Proves ability to decompose open problems into variables, assumptions, models, code, and conclusions.

Problem Solving

Extracting variables, building assumptions, selecting models, validating results, and presenting findings in clear academic writing.

Modeling Workflow

01 Problem Understanding

02 Model Assumptions

03 Data Processing

04 Algorithm Solving

05 Result Analysis

06 Paper Writing

Personal Role

Verifiable Skills

Contributed to problem abstraction, model construction, data analysis, and paper writing
Proficient in Python, LaTeX, Markdown, Origin
Experienced in cross-disciplinary research and deadline-driven delivery

Areas of Growth

Roles across contests: modeling, programming, academic writing, and visualization
Models applied include regression analysis, optimization, and numerical simulation
Systematic approach to decomposing ill-posed problems into computable frameworks