Current Focus
Statistics, modeling, and machine learning
OPEN TO WORK / STATISTICS / DATA SCIENCE / MACHINE LEARNING
Hello, I'm
Dong Bokun.
A statistics student building careful, research-driven data work.
I am currently pursuing an M.S. in Statistics at The Chinese University of Hong Kong, Shenzhen. My work sits between statistical reasoning, practical analysis, and machine learning workflows that aim to be rigorous, explainable, and useful.
Graduate Study
M.S. in Statistics, CUHK-Shenzhen
Working Style
Calm, structured, and research-oriented
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ABOUT
Research-minded, detail-sensitive, and still early in a long path.
My academic background started from mathematics and is now moving deeper into statistics and data science. I care about how quantitative work is structured, how evidence is communicated, and how models behave outside ideal settings.
I am especially motivated by projects that require both technical reasoning and calm judgment: cleaning imperfect data, selecting an appropriate method, and explaining the result with honesty rather than overclaiming.
RESEARCH INTERESTS
Areas I want to keep studying, building, and explaining better.
Statistical Learning
I am interested in how statistical structure, regularization, and uncertainty estimation improve real-world decision systems.
Machine Learning Systems
I enjoy turning models into reliable workflows, from data cleaning and training loops to evaluation pipelines that are easy to reproduce.
Causal & Applied Inference
My academic attention leans toward interpretable methods that explain what changed, why it changed, and how confident we should be.
PROJECT FILTER
Selected work across statistics, machine learning, and quantitative modeling.
The filter is meant to show range, not decoration. It helps recruiters and faculty read the work through the lens they care about.
LLM Pretraining and Mathematical Fine-Tuning
Built a NanoGPT training workflow, processed a 100M-token corpus, and adapted a GPT-2 style model for mathematical problem solving.
Focused on training setup, data preparation, and task-specific adaptation.
Conference Market Expansion Analytics
Designed and analyzed 500+ valid survey responses, then translated segmentation and regression outputs into an actionable market strategy.
Produced a decision-oriented report combining descriptive, predictive, and business-facing analysis.
RIS-Based Communication and Power Transfer Modeling
Developed beamforming logic and simulation workflows in MATLAB for long-distance communication and energy transfer scenarios.
Connected algorithm design with simulation validation and paper-ready documentation.
Regression and Visualization Practice Archive
Collected small applied studies around regression, statistical testing, and visual explanation for coursework and independent practice.
Strengthened my ability to explain statistical reasoning clearly instead of only presenting final numbers.
ACADEMIC TIMELINE
A compact view of education, research, competitions, and project growth.
2021
Education
B.S. in Mathematics and Applied Mathematics
Started undergraduate training with a focus on mathematical foundations and structured quantitative thinking.
2024
Research
First-Author Academic Papers
Contributed first-author papers for ICFTBA 2024 and CONF-MLA 2024.
2024
Competition
National Competition Achievement
Received first prize in a national communication and information processing competition.
2025
Projects
Applied Analytics and Simulation Projects
Expanded project work across market analytics, numerical modeling, and machine learning practice.
2025-2027
Education
M.S. in Statistics at CUHK-Shenzhen
Current graduate study centered on statistical learning, data visualization, and regression analysis.
INTERACTIVE DATA LAB
A small visualization corner for how I think: probability, trend, and structure.
Normal distribution as a visual language
A simple curve, but a useful reminder: variance, density, and uncertainty are not abstract concepts when interpreting real data.
LIFE OUTSIDE THE PAGE
Small records that keep the site personal, not just professional.
I keep a little space for reading, observation, and slow reflection.
Photography helps me record texture, calmness, and the scenes I tend to notice.
I prefer work that is complete first, and polished second.
Quiet moments and observation.
A softer record of daily rhythm.
Simple scenes with calm texture.
Short pauses away from coursework.
Minimal, personal, unforced.
A relaxed record of place and time.
CONTACT
If the work feels relevant, I am happy to continue the conversation.
I am especially open to research internships, analytics roles, and early-career opportunities that value careful quantitative thinking.
1979480683@qq.com