陆俊骐 ☕️
陆俊骐 Lu Jun Qi

Undergraduate Student / Researcher

About Me

I’m a dual-degree student at the Beijing Institute of Technology, with a bachelor’s in Mathematics and a second degree in Computer Science.

My academic focus is on the intersection of mathematical modeling and modern machine learning. I’m especially interested in applying methods like reinforcement learning, machine learning, and Bayesian statistics to solve complex, real-world problems.

I am currently seeking master’s and Ph.D. programs where I can apply my interdisciplinary background to address high-impact research questions. Please feel free to reach out for any potential collaborations.

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Interests
  • Mathematical Modeling
  • Reinforcement Learning
  • Reliability Engineering
  • Bayesian Statistics
Education
  • B.S. in Computer Science and Technology

    Beijing Institute of Technology

  • B.S. in Mathematics and Applied Mathematics

    Beijing Institute of Technology

📚 My Research

I am a research assistant in Professor Li Xin’s Reinforcement Learning Group, where my blog serves as a platform to document my learning journey and insights into the field of reinforcement learning.

In collaboration with Professor Qingan Qiu, I am also engaged in research on reliability-based engineering decision-making under incomplete information. This work has resulted in one published paper in a JCR Q1 journal, with a new manuscript currently being prepared for submission.

I am passionate about applying machine learning, reinforcement learning, and probability and statistics to model and solve complex real-world problems. If you are interested in any of my research areas or would like to collaborate, please feel free to reach out 🤝

Featured Publications
Recent Publications
(2025). Learning to optimize termination decisions under hybrid uncertainty of system lifetime and task duration. Computers & Industrial Engineering.
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