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+title: Curriculum Vitae
+permalink: /cv/
+---
+
+# Curriculum Vitae
+
+## Education
+
+### Ph.D. in Statistics 
+*TU Dortmund, Germany* | 2021 - 2025 (Expected)
+- Supervisor: Prof. Dr. Katja Ickstadt, Dr. Alexander Munteanu
+- Research Group: SFB 876 - C4
+- Focus: Data reduction approaches for large-scale and high-dimensional complex Bayesian model
+- Full scholarship recipient
+
+### M.Sc. in Quantitative Economics
+*Georg-August-University Göttingen, Germany* | 2017 - 2020
+- Supervisor: Prof. Dr. Thomas Kneib
+- Master Thesis: "Variable Importance Measures for Functional Gradient Descent Boosting"
+- Awarded the Young Statistician Awards at the 67th Biometric colloquium
+
+### B.Sc. in Quantitative Economics
+*Xi'an Jiaotong University, China* | 2011 - 2015
+
+## Research Experience
+
+### Scientific Researcher
+*Lamarr Institute for Machine Learning and AI* | 2024 - Present
+- Contributing to one of Germany's top six AI research centers
+- Collaborating with leading experts in ML and AI
+- Publishing research in international journals
+- Presenting findings at major conferences
+
+### Scientific Researcher
+*TU Dortmund* | 2021 - Present
+- Developing novel statistical algorithms in Python and R
+- R package development
+- Teaching responsibilities:
+  - Monte Carlo Simulation Methods
+  - Statistical Learning and Big Data Analysis
+  - Bayesian Statistics
+  - Case Studies in Statistics
+
+## Industry Experience
+
+### Quantitative Risk Management Intern
+*Daimler Mobility AG, Global Headquarter* | Sep 2019 - Mar 2020
+- Led AI for Credit Scoring project
+- Developed and validated global corporate rating models
+- Created automated report generation tools using VBA
+- Implemented data processing workflows in SAS and SQL
+
+### Quantitative Risk Management Intern
+*China Construction Bank, Frankfurt Branch* | May 2019 - Jul 2019
+- Developed R scripts for automated VaR calculation
+- Conducted backtesting on PD and LGD models
+- Prepared sovereign risk reports
+- Performed stress-testing and liquidity risk analysis
+
+## Technical Skills
+
+### Programming Languages
+- Python: Advanced
+- R: Advanced
+- SAS: Proficient
+- Julia: Intermediate
+- SQL: Proficient
+- VBA: Intermediate
+- LaTeX: Advanced
+
+### Statistical & ML Expertise
+- **Statistical Modeling**: GLM, Time Series Analysis (ARIMA, GARCH, GJR-GARCH)
+- **Bayesian Methods**: MCMC, Prior Design, Model Selection
+- **Machine Learning**: Gradient Boosting, Random Forests, SVMs
+- **Deep Learning**: Neural Networks, RNN, LSTM, Bayesian Neural Networks
+- **Big Data Tools**: PySpark, Distributed Computing
+
+### Software & Tools
+- Version Control: Git
+- Development: PyCharm, RStudio
+- Big Data: Hadoop, Spark
+- Cloud: AWS basics
+
+## Projects
+
+### Research Projects
+
+#### AI for Physics (KISS Project)
+*TU Dortmund* | 2023 - Present
+- Developing Bayesian and Monte Carlo algorithms for particle physics
+- Implementing ML models for ATLAS data analysis
+- Collaborating with CERN research center
+
+#### Big Data for Copula Models
+*TU Dortmund* | 2023 - Present
+- Developing compression algorithms for multivariate models
+- Creating theoretical frameworks and proofs
+- Implementing solutions in Python and R
+
+### Software Development
+
+#### BayesPprobit R Package
+- Developed comprehensive R package for Bayesian analysis
+- Published on CRAN
+- Maintained documentation and user support
+- [Link to package](https://github.com/link)
+
+## Publications
+
+[See complete publication list](/publications)
+
+### Selected Publications
+1. "Scalable Bayesian p-Generalized Probit and Logistic Regression" (2024)
+2. "Bayesian analysis for dimensionality and complexity reduction" (2023)
+
+## Languages
+
+- German: Professional Working Proficiency (C1)
+- English: Professional Working Proficiency
+- Chinese: Native Speaker
+
+## Awards & Honors
+
+- Young Statistician Award, 67th Biometric Colloquium
+- Full Ph.D. Scholarship, TU Dortmund
+- Best Paper Award, International Conference
+
+## Professional Memberships
+
+- German Statistical Society
+- International Statistical Institute
+- Machine Learning Research Association
+
+## References
+
+Available upon request