Annie Lyu

PhD candidate in Statistics

Iowa State University


I am a PhD candidate in Statistics at Iowa State University. My major professors are Dr. Heike Hofmann and Dr. Emily Berg. I consulted and contributed to several customer-facing R Shiny applications. I enjoy programming, photographing and dessert-making.


  • Data Visualization
  • Statistical Learning
  • Pastry and Photography


  • PhD in Statistics, 2020

    Iowa State University

  • BSc in Statistics, 2015

    Wuhan University



Visualization Analyst Intern


May 2019 – Aug 2019 San Francisco, California
Develop machine learning models and dashboards in the business analytics team.

Graduate Research Assistant - Statistics

Iowa State University

Aug 2015 – Present Ames, Iowa
Develop statistical methodology and visualization tools at the Center of Survey Statistics and Methodology.

Recent Posts

VISCOVER is now featured in the RStudio Shiny Gallery!

I am so happy to share the news that my R Shiny app viscover is now featured in the RStudio Shiny Gallery. 🎉 🎉 🎉 It's categorized into …

Fun blogdown in R to design a personal website

Inspired by David Robinson‘s keynote talk at the RStudio conference 2019 (summary in the following tweet), I decided to write a …

Fun Leaflet in R with NYC Squirrel Census Data

Anabelle introduced the NYC Squirrel Census data to me today. It also comes from the recommended dataset of #TidyTusday. Both of us …


个人网站上的第一篇中文博客献给值得纪念的2019年暑假, 响应谢老大的号召,我网故我在。 一个人的七天欧洲之旅 因为参加一个国际会议,我短暂拜访了


viscover: visualize soil and crop data and their overlay

This is a shiny app tool designed for interacting with Cropland Data Layer and NRCS Soil Survey Data.

iNtr: an interactive NRI table review tool

This is a shiny app tool designed for reviewing tables in Natural Resource Inventory reports.

Systematic Sampling Example

An example for Stat421 Lab05.

ISA On-Farm Trial Summarization Tool

Designed to provide individual and across field summaries of on-farm trials conducted by farmers working with the Iowa Soybean Association.

Iowa DNR MSIM - SGCN Modeling

Predictive occurrence maps for Species of Greatest Conservation Need (SGCN) using data from the MSIM program.

Recent & Upcoming Talks

Empirical Bayes small area prediction under a zero-inflated lognormal model with correlated random effects

Many variables of interest in agricultural or economical surveys have skewed distributions and can be contaminated with a …

Applications of R Shiny to Explore, Evaluate and Improve Total Survey Quality

Maintaining and assessing total survey quality on a large scale and complex survey such as the National Resource Inventory (NRI) often …

Progress Report: Visualization of Sheet and Rill Erosion on US Cropland

National Resource Inventory (NRI) is a longitudinal survey which monitors national resources on non-federal US land. It provides annual …

Empirical Bayes Small Area Prediction of Sheet and Rill Erosion Using a Zero-Inflated Lognormal Model

In the Conservation Effects Assessment Project (CEAP), some of the variables are skewed right and have zeros. We proposed an empirical …

Overlay Spatial Objects in R

In this talk, I'll demo a shiny application, which uses publicly available databases on soils (soils map and cropland data layer) to: …


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