Alaa Alzahrani

Experimental researcher, statistical modeler, and programmer with a PhD in Applied Linguistics.

Riyadh, Saudi Arabia

LinkedInX
AZ

About

Researcher and data scientist with a unique blend of skills in experimental design, advanced statistical modeling, and programming. I have a track record of conducting theory-driven and exploratory studies and building cutting-edge analytical models.

Experience

Feather
Data

2024 - Present

Lead Data Analyst

Providing digital marketing analytics, analyzing data from over 30 companies across multiple social platforms.

Princess Noura University
Research

2022 - 2022

Research Assistant

Conducted in-depth analysis of school textbooks using discourse analysis frameworks. Resolved data-related issues and maintained effective communication with colleagues throughout the research process.

Prince Sultan University
Research

2018 - 2018

Research Assistant

Managed and analyzed data from multiple tasks involving over 100 participants. Collaborated closely with fellow researchers, ensuring smooth project execution.

Education

PhD in Applied Linguistics

2019 - 2023
King Saud University, Saudi Arabia

MA in Applied Linguistics

2016 - 2018
King Saud University, Saudi Arabia

BA in Translation

2010 - 2015
Princess Noura University, Saudi Arabia

Skills

Critical thinking
Problem solving
Experimental design
Statistics
R
Python
TypeScript
React/Next.js
SQL/Firebase

Publications

Jiwar: A database and calculator for word neighborhood measures in 40 Languages

2024

under-review

The acceptability and validity of AI-generated psycholinguistic stimuli

2024

under-review

The role of language learning technologies: Insights from the Saudi context

2024

accepted

Arabic Syntactic Analyzer (ARSA): an automated tool for the analysis of Arabic written texts

2024

under-review

L2 video comprehension: effects of video and learner variables

2024

under-review

I can’t see you two: L2 Arabic speakers cannot anticipate dual nouns

2024

under-review

The predictive use of gender-marked verbs in L1 and L2 Arabic speakers

2024

under-review

Utility of Kolmogorov complexity measures: Analysis of L2 groups and L1 backgrounds

PLOS ONE, 2024

published

Syntactic priming in the classroom: using narratives to prime L2 Arabic speakers

Asian-Pacific Journal of Secondand Foreign Language Education, 2024

published

LexArabic: A receptive vocabulary size test to estimate Arabic proficiency

Behavior Research Methods, 2023

published

What is the next structure? Guessing enhances L2 syntactic learning in a syntactic priming task

Frontiers in Psychology, 2023

published

Priming the Arabic dative: Evidence for syntactic abstractness and implicit learning

Frontiers in Education, 2022

published

Projects

ARSA

An automatic tool that analyzes syntactic complexity in Arabic written texts

Python
Camel Parser
NLTK

Jiwar

A linguistic neighborhood calculator

Python
phonemizer

LexArabic

A quick and validated vocabulary test designed to assess Arabic proficiency for both native and non-native adult Arabic speakers.

TypeScript
Next.js
Tailwind CSS

Professional Portfolio

A one-page professional portfolio design.

TypeScript
Next.js
Tailwind CSS

Academic Portfolio

A minimalist one-page academic portfolio design.

TypeScript
Next.js
Tailwind CSS

Mood Tracker

An app that allows users to enter and record their daily moods

full-stack
TypeScript
Next.js
firebase