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title: Home | ||
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# Zeyu Ding | ||
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## About Me | ||
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Ph.D. candidate in Statistics at TU Dortmund, working under the supervision of Prof. Dr. Katja Ickstadt and Dr. Alexander Munteanu. Currently working as a Scientific Researcher at Lamarr Institute for Machine Learning and AI, one of Germany's top AI research centers. | ||
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## Research Interests | ||
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- Bayesian Statistics | ||
- Machine Learning | ||
- Data Reduction Approaches | ||
- High-Dimensional Complex Models | ||
- Statistical Computing | ||
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## Recent Publications | ||
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### Journal Articles | ||
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**Scalable Bayesian p-Generalized Probit and Logistic Regression** | ||
*Advances in Data Analysis and Classification* (2024) | ||
Zeyu Ding, Katja Ickstadt, Alexander Munteanu, Simon Omlor | ||
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**Bayesian analysis for dimensionality and complexity reduction** | ||
*Machine Learning under Resource Constraints* (2023) | ||
Zeyu Ding, Katja Ickstadt, Alexander Munteanu | ||
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## Current Projects | ||
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### AI for Physics | KISS Project | ||
*TU Dortmund, 2023 - Present* | ||
- Developing Bayesian and Monte Carlo algorithms | ||
- Collaborating with ATLAS data at CERN | ||
- Implementing state-of-the-art ML algorithms | ||
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### Big Data for Copula Models | ||
*TU Dortmund, 2023 - Present* | ||
- Developing compression algorithms for multivariate models | ||
- Theoretical proofs and simulations | ||
- Implementation in Python and R | ||
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## Contact | ||
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- Email: zeyu.ding@tu-dortmund.de | ||
- [GitHub](https://github.com/zeyudsai) | ||
- [LinkedIn](https://www.linkedin.com/in/zeyu-ding-sai/) |