Hello!

I am an associate research scientist at Motor Speech Lab, New York University. My primary role involves conducting statistical analyses to evaluate the effectiveness of treatments for children with childhood apraxia of speech, utilizing data from clinical experiments. I’m also a part-time fiscal policy analyst at FPWA doing data analysis and visulizations for New York City budget and revenue data.

I completed my Master’s degree in Applied Statistics in Social Science Research at New York University this year. Prior to joining NYU, I obtained my Bachelor’s degree in Financial Statistics from The Chinese University of Hong Kong.

I have a broad interest in statistical methodology, particularly in multi-level modeling, causal inference, data visualizations, and their applications in social sciences contexts, such as policy and education.

Ongoing Project

Unmodeled Interaction in Binary Dependent Variable Model
Collaborator: Prof. Bryant Moy, June 2023- Present
I’m collaborating with Prof. Moy on specifying the unmodeled interaction. We focused on the binary dependent variable model and utilized Neural Networks as a supplementary tool to help to identify the model specification. [Details]

Publications

Dynamic Temporal and Tactile Cueing: Quantifying Speech Motor Changes and Individual Factors That Contribute to Treatment Gains in Childhood Apraxia of Speech
Maria I Grigos, Julie Case, Ying Lu, and Zhuojun Lyu. 2023.
Journal of Speech, Language, and Hearing Research. 1-18. [Paper] [Details]

Temporal and Tactile Cueing (DTTC) in Young Children with Childhood Apraxia of Speech: A Single Case Experimental Design
Maria I Grigos, Julie Case, Ying Lu, and Zhuojun Lyu. 2023. Under review

Teaching

New York University, Fall 2022, APSTA-GE 2003 Intermediate Quantitative Methods: The General Linear Model, Teaching Assistant [Details]

Contact

zl4311@nyu.edu