Email: allen29@ucla.edu

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I am a Ph.D. candidate in the Department of Statistics and Data Science at University of California, Los Angeles (UCLA). My advisor is Prof. Oscar Hernan Madrid Padilla. Previously, I received a B.S. in Statistics and a B.A. in Economics at UCLA in 2017. My research interests are

- Generative Learning, Representation Learning, Unsupervised Learning
- Computer Vision
- Bayesian Inference and Empirical Bayes Methodology
- Generative, Temporal, and Latent Space Models for Complex Networks/Graphs
- Change Point Detection, Anomaly Detection

### Publications

Change Point Detection on a Separable Model for Dynamic Networks

**Yik Lun Kei** *, Hangjian Li *, Yanzhen Chen, Oscar Hernan Madrid Padilla

Under Review

PDF

R package: library(CPDstergm)

A Partially Separable Temporal Model for Dynamic Valued Networks

**Yik Lun Kei**, Yanzhen Chen, Oscar Hernan Madrid Padilla

Under Review

PDF

YouRefIt: Embodied Reference Understanding with Language and Gesture

Yixin Chen, Qing Li, Deqian Kong, **Yik Lun Kei**, Song-Chun Zhu, Tao Gao, Yixin Zhu, Siyuan Huang

The IEEE International Conference on Computer Vision (ICCV) 2021 (Oral)

PDF

* denotes equal contribution

### Teaching

Guest Lecturer

- Linear Models (100C)
- Mathematical Statistics (100B)

Teaching Fellow

- Statistical Modeling and Learning (201B)
- Computation and Optimization for Statistics (102B)
- Introduction to Data Analysis and Regression (101A)
- Linear Models (100C)
- Mathematical Statistics (100B)
- Introduction to Probability Theory (100A)
- Introduction to Statistical Methods for Life and Health Sciences (13)
- Introduction to Statistical Reasoning (10)

### Work Experience

Data Scientist Intern at Amazon (2023)

Senior Data Analyst at UCLA Health (2017-2019)

### R package

library(CPDstergm) # install in R via install_github(“allenkei/CPDstergm”)

### Awards

UCLA Graduate Fellowship (2021-2023)

UCLA Summer Mentored Research Fellowship (2022)

### Services

Journal Reviewer