statr.me

What It Is

statr.me is the personal academic homepage of Yixuan Qiu, focused on Statistics, Data, and Programming. The site states that the author is currently an Associate Professor at the School of Statistics and Data Science, Shanghai University of Finance and Economics. His research interests include statistical machine learning, statistical inference, deep learning, large-scale data analysis, statistical computing, and data visualization. The website also serves as a personal CV, research showcase, technical blog, and index of open-source software.

Core Features

The main sections of the website include Blogs, Teaching, Research, Software, About, RSS, Categories, Tags, and GitHub. The blog section is used to record technical articles related to statistics and programming; the Research page presents academic work; the Software page lists open-source packages related to statistics and machine learning that the author has written and maintains; and the About page provides education background, work experience, research interests, and contact information. The site is powered by Hugo, uses a theme modified from Tranquilpeak, and makes its source repository public, offering a relatively high level of technical transparency.

Pricing

This is a personal homepage and content-based website. The text does not show any paid subscriptions, memberships, course sales, or consulting fees. The content appears to be primarily freely accessible, with very little commercial orientation.

Pros and Cons

Its strengths are clear positioning and strong academic credibility, with content forming a relatively stable knowledge boundary around statistics, data science, and programming. For researchers, it offers a quick way to learn about the author’s papers, software, and research directions; for developers, the GitHub and Software pages help discover projects related to statistical computing. The static-site structure is lightweight, and RSS makes it convenient for long-term subscription.

The downside is that it is not a systematic education platform, nor is it a Q&A community or SaaS tool, so its interaction and service capabilities are limited. Coverage depends on the author’s personal interests and maintenance pace. The site also mentions that blog writing happens “constantly although slowly,” so users should not expect frequent updates or a complete course system.

Who It’s For

It is suitable for students, teachers, and researchers in statistics, data science, and machine learning, as well as developers interested in R/programming, statistical computing, and high-performance statistical software. It is also useful as a reference for anyone who wants to build a personal academic homepage, especially in terms of information architecture and Hugo implementation.

Access in China

The author works at a Chinese university, and the site is an ordinary static personal website with no apparent reliance on heavy login systems or restricted services. Based on the crawled information, it is likely directly accessible from mainland China; however, external links such as GitHub may have speed or stability issues domestically.