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Data science in quantitative regression models, computer vision, prompt engineering. Ph.D in fluid mechanics and porous medium. Master degree in solid mechanics. Have special skills on finite element analysis FEA and vibration monitoring. Good at mathematics and statistics in engineering cases and social life cases. Speak Chinese, English, Danish.

Python statistics finite element analysis FEA fluid mechanics Power BI porous medium vibration analysis prompt engineering machine learning computer vision  

Updated 28. januar 2026
My education
2008 - 2011

ph.d. (alm.)

Danmarks Tekniske Universitet - DTU

Upscaling of multiphase flow in porous medium petroleum reservoir
Subject description:
This Ph.d project produces a semi-analytical method for simulating layered petroleum reservoir. Mass balance is the central method. It involves gravity effect on the behaviors of fluids with different density. Besides, two models, with gravity effect and without gravity effect, for simulation in COMSOL are also developed.
Numerical calculation is implemented in Matlab and Fortran. Stability and accuracy of the methods are analyzed. Microsoft Excel is used to analyze data from petroleum reservoir, including calculation on thermal-dynamic properties of petroleum.
Educational area: Naturvidenskab
Period: oktober 2008 - november 2011
10
2006 - 2008

MSc, Engineering

Syddansk Universitet (SDU)

Master of mechatronics
Description of master project:
Differential geometry theorem is used to model the structural mechanics of the bending of a nanowire in nano-generator. The expressions of strain and stress are derived. The deformation of nanowire and the electrical potential predicted by this model fit well with that by 3D simulation in COMSOL. Numerical calculation is implemented in Matlab. In addition, twisting of nanowire is simulated in COMSOL, as comparison of bending. Bending is more effective for nano-generator to produce electrical potential.

Others:
Use Matlab Simulink to simulate dynamic system. Use Laplace transform to solve PID control system. Embedded software design, programming in C++
Educational area: Naturvidenskab
Period: september 2006 - juli 2008
My work experience
2021 - now

Data specialist

FORCE Technology

1. Regression model and risk assessment for wind turbine blades production (resin infusion).
2. X-ray image analysis and defect detection.
3. Endoscopy image/video analysis and defect detection.
4. Electronic component object detection and Web App development using Angular.
5. Ultrasonic data analysis and object detection.
6. ML project management on Azure machine learning studio.
7. Power-BI reports design about risk assessment
8, Python code development, Docker implement, Git
9, Parallel computing, GPU computing, Linux commands
10, Software building and deploy
Work area: Data & Analyse
Period: juni 2021 - now
2020 - 2021

CMS vibration analyst

MHI Vestas Offshore Wind A/S

1. Turbine Condition Monitoring based on vibration analysis.? Mechanical fault diagnostics.
2. Turbine configuration and system fault diagnostics.
3. Clustering model about vibration data and power production using Python scikit-learn.
4. Close contact to customers, suppliers and site technicians.
5. Improve CMS methods and tools using Python SciPy.
Work area: Data & Analyse
Period: maj 2020 - maj 2021
2016 - 2020

Data and Turbine Condition Monitoring Engineer

KK Group - KK Wind Solutions

Tasks/Projects:

1. Turbine Condition Monitoring based on vibration analysis.?Mechanical fault diagnostics.
2. Regression model for fault severity index and classification model for fault types using Python scikit-learn.
3. Statistics analysis on failure development and prediction of remaining useful life of component.
4. UI design of website and software.
5. Feedback to customers’ demands.
6. ISO vibration analyst certificate.
Work area: Data & Analyse
Period: december 2016 - februar 2020
2013 - 2016

data engineer

Siemens Gamesa Renewable Energy

Quantitative data modelling:
1. Regression model for mechanical and electrical fault diagnostics.
2. Regression model for the health of sensors.

Others:
3, Reports and documents
4. Close contact to site technicians.
Work area: Data & Analyse
Period: april 2013 - november 2016
2011 - 2012

post doc

Syddansk Universitet (University of Southern Denmark - SDU)

Energy Efficiency Control of Separation Process

This project Energy Efficient Control of Separation Process is funded by the Danish Business Innovation Fund (Fornyelsesfonden). This project is carried on by DAKA, CORE, Syddansk Unversitet and Aarborg University. The purpose of this project is to develop a mathematical model about the heating process in thermal screw and drying process in plate dryer and to control the process. Modeling is done by Syddansk Unversitet, while control is done by Aarborg University.

I make models for both the heating process and drying process. This work involves heat transfer, phase change and evaporation. The results of my work fit well with industrial data and observation.
Work area: Forskning & Udvikling
Period: oktober 2011 - december 2012
My skills and abilities
Skills
anaconda azure dev data analysis & machine learning time series bayesian model c++ comsol confidence interval programming python detr docker cloud: azure machine learning studio endoscopy video end-to-end object detection (x-ray image excel finite element statistics: weibull distribution fourier transform heat transfer hypothesis testing jupyter it git laplace transform linear /nonlinear regression linux commands mathematical modeling matlab moisture drying mathematics numerical methods: finite difference ordinary image) certificate iso vibration analysis cat ii parallel computing physics: fluid mechanics on micro and macro level porous medium power bi pytorch rest solid mechanics sql vae (variational auto encoder) computer vision opencv vibration monitoring vs code yolo
Skills at working proficiency
dansk engelsk kinesisk
My preferences
Job type
Fuldtidsjob
Work areas
Data & Analyse Forskning & Udvikling IT - Software
Location
Sydvestjylland (Esbjerg) Sønderjylland
Salary
60.000 DKK / month
Contact me!


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