Working

Statistician, Corteva, 2025 - present

I work on linear models, nonlinear models, data analysis, data visualization, machine learning and R Shiny app development.

CMC Statistics and Product Quality Intern, Amgen, 2025

I worked on mixed-effects model, data analysis, data visualization and R Shiny app development.

Research Assitant, Center for Statistics and Applications in Forensic Evidence (CSAFE), 2022 - present

I am working on toolmark analysis under the supervision of Dr. Heike Hofmann and Dr. Alicia Carriquiry. Currently, I am focusing on analyzing striation mark similarity on wire cut scans. The related R packages under development are wire for the algorithm and wireShiny for the R Shiny app.

2024 Joint Statistical Meetings (JSM) Proceedings:

• Lin, Y., & Hofmann, H. (2024, August 27). A reproducible pipeline for extracting representative signals from wire cuts. Joint Statistical Meetings (JSM), Portland, Oregon. https://doi.org/10.48550/arXiv.2405.11012

  • This paper won the 2024 American Statistical Association Student Paper Award.

Data Scientist Intern, Corteva, 2022 - 2023

I worked on linear models, nonlinear models, data analysis, data visualization, machine learning and R Shiny app development.

Research Assitant, Department of Statistics, CUHK, 2018 - 2020

I worked on multiple imputation and multi-phase inference under the supervision of Dr. Kin Wai Chan.