Bio
Hello! My name is Renwen Luo. Welcome to my page, I am trying to make it interesting!🙌
I am currently an PhD student, majoring in Probability and Mathematical Statistics at BNU-HKBU United International College, supervised by
Prof. Jianxin Pan.
I received my Scholar degree for Mathematics and Applided Mathematics and Master degree for Mathematical Statistics from Sichuan University in 2019 and 2022, respectively.
I like swimming, skiing and badmiton!
Please send email to me if you want to have a talk or collaboration! I am always eager to learn more and expand my horizons!
The image above is my self!
Research Interests
- Joint Modeling of Longitudinal and Survival Data
- Mathematical Foundation of Deep Learning
- Covariance Modeling of Clustered Data
- Modeling of Within Individual Variability
Publications
- Peng, C., Luo, R., Han, Y. and Pan, J. Joint mean angle model for spatial binary data Statistica Sinica, 2024. [DOI]
- Luo, R. and Pan, J. Conditional generalized estimating equations of mean-variance-correlation for clustered data. Computational Statistics & Data Analysis, 2022. [DOI]
Research Projects
-
Project 1: Modeling within individual variability in joint analysis of longitudinal and survival data
Description: From view of statistics, building statistical model to describe the impact of within individual variability on time to cardiovascular disease.
-
Project 2: Modeling step drop of temperature in joint analysis of longitudinal and survival
Description: From view of statistics, building statistical model to describe the impact of step drop of temperature on time to cardiovascular disease.
-
Project 3: Mathematical Foundation of Deep Learning
Description: Based on advanced mathematical tools, such as empirical process, deriving rate of convergence of deep neural network and corresponding optimization algorithm.
Teaching Experience
-
Teaching Assistant: Regression Analysis
Assisted in developing coursework, grading assignments, and teaching tutorials.
-
Teaching Assistant: Survival Analysis
Assisted in developing coursework, grading assignments, and teaching tutorials.
Awards & Honors
- XYZ Fellowship for Research Excellence, University of XYZ, 2023
- Best Paper Award, ABC Conference, 2022
- National Scholarship for Outstanding Students, China, 2021
Blog
Understanding Bayesian Deep Learning
April 12, 2024
Bayesian deep learning combines the flexibility of neural networks with the uncertainty modeling of Bayesian inference. In this post, we'll explore the key concepts and how they apply to practical problems.
Read MoreUnderstanding Bayesian Deep Learning
April 12, 2024
Bayesian deep learning combines the flexibility of neural networks with the uncertainty modeling of Bayesian inference. In this post, we'll explore the key concepts and how they apply to practical problems.
Read MoreContact
Email: luorenwen@uic.edu.cn
GitHub: https://github.com/Fisher-Luo