Curriculum Vitae

University of Wisconsin-Madison

Madison, WI, US

New York University

New York, NY, US. Advisor: Klint Kanopka, Ph.D.

New York University

New York, NY, US

New York University

New York University

International Meeting of the Psychometric Society

New York University

$10,400

Shen, R., & Kanopka, K.

Annual Meeting of the National Council on Measurement in Education

Shen, R., & Kanopka, K.

International Meeting of the Psychometric Society

Shen, R., & Kanopka, K.

NYU Society for Statistics Conference, New York, NY. Chapter of the American Statistical Association.

Paper presentation.

Kanopka, K., van Loon, A., Huang, Y., Shen, R., & Tang, H.

Pacific Quantitative Psychometrics Conference

NYU Data Services (NYU Libraries and IT)

Supervisor: Nicholas Wolf, Ph.D.； Vicky Rampin, MS

• Provided data management support to faculty, staff, and students at NYU.
• Taught Data Carpentry workshops.
• Developed an automatic pipeline to process missing data in political voting datasets across all U.S. states over the past 5 years, and ran the pipeline on NYU HPC.

The Algorithms, Data, and Public Policy Technology (ADAPPT) Lab

Supervisor: Alex Chohlas-Wood, Ph.D.

• Worked on API-based web scraping and automated data collection via Crontab on NYU's High Performance Computing system.
• Developed a computer vision-based pipeline to crop traffic camera images across New York City and used LLMs to predict vehicle emissions.
• Built an end-to-end data processing workflow, including PDF-to-text conversion, structured output generation using the ellmer R package, and automation with bash scripting.

Department of Applied Statistics, Social Science, and Humanities, New York University

Supervisor: Klint Kanopka, Ph.D.

• Led a project using NAEP process data and developed modeling and clustering methods to identify latent behavior patterns from log data.
• Engineered LLM-based data augmentation workflows, including prompt design, data collection scripts, and Git/GitHub project management.
• Developed and implemented a scalable data analysis pipeline to assess the fit of polytomous item response models across large-scale item response datasets.

Infant Action Lab, Psychology Department, New York University

Principal Investigator: Karen Adolph, Ph.D.

• Assisted with computer vision algorithm fine-tuning for psychology research.
• Developed efficient and reproducible R scripts to analyze a large simulated robot gait dataset.
• Trained and supervised undergraduate research assistants in data collection protocols, ensuring accuracy and consistency across studies.

New York University

Lab Instructor/Graduate Adjunct

Graduate level. Instructor: Klint Kanopka, Ph.D.

New York University

Teaching Assistant

Graduate level. Instructor: Eric Novik, MS.

New York University

Lab Instructor/Graduate Adjunct

Graduate level. Instructor: Ravi Shroff, Ph.D.