### About me.

I am an assistant professor at UC Davis in the Statistics department. Before this I was a postdoctoral researcher and lecturer at UCSD in the Mathematics department. I hold a Ph.D in Machine Learning and Statistics from Carnegie Mellon University where my advisors were Aarti Singh and Alessandro Rinaldo. In my research, I develop and study computationally efficient statistical methodology for understanding complex phenomena in large datasets.

### Teaching

- Stats 290: Statistics Seminar Series
- Stats 141B: Data & Web Technologies for Data Analysis
- Stats 208: Statistical Machine Learning

### Students

- Liwei Wu, PhD Student
- Xiaoyue Li, PhD Student
- Yujun Chen, Masters Student
- Andrew Chin, Undergraduate Student

### Professional Membership

- Institute of Mathematical Statistics
- Bernoulli Society
- IEEE, Signal Processing Society

### Research

#### Graph Structured Signal Processing

(6 publications)Traditional signal processing techniques such as wavelet denoising and kernel smoothing, implicitly assume that the domain is homogeneous. Graph structure provides us with a more flexible framework for filters over heterogeneous media, social networks, or semantic information.

#### Scan Statistics over Networks

(6 publications)We develop novel methodology for detecting faint signals in sensor networks and images. In images we develop a precise asymptotic analysis for fast scanning tools based on convolutional feedforward neural nets. In general graphs, we look at approximation algorithms for the generalized likelihood ratio test.

#### Estimation in High-dimensions

(3 publications)Here we look at the fused lasso and trend filtering, which are locally adaptive non-linear filters that can outperform wavelet denoising. We also explore heteroscedasticity in high-dimensional models, for variance function estimation and locating master regulators in genomics data.

### Resources

### DSI Workshop on Classification: Github Repo

- Starting your data science portfolio: your workflow, git and GitHub
- Massive list of public datasets
- List of jupyter notebook projects
- Markdown cheatsheet
- LaTeX symbol cheatsheet