About

Interdisciplinary researcher and data engineer exploring the intersection of AI, media, and society.

Hello! I'm Melika Khodabin. I'm an interdisciplinary researcher and data specialist with a strong academic background in media studies and emerging technologies.

I am the author of multiple peer-reviewed publications addressing AI Literacy, AI-enabled analytics, and algorithmic culture in social media. My work sits at the intersection of communication sciences, data engineering, and critical technology studies.

On the industry side, I work as a Data Quality Engineer at Snapp!, where I ensure the reliability and accuracy of large-scale data systems. I am passionate about applying rigorous research thinking to real-world data problems.

Research Interests

AI Literacy
Educational Studies
Algorithmic Culture
Sociotechnical Systems
Media Studies
Semantic Layer of AI Analysis

Publications

Telemedicine: An AI Solution, at Last

Toosi, R., Tomraee, S., Khodabin, M., & Sakhaei, S.

Code, Cognition & Society, Vol. 1, No. 1, pp. 59–87, 2025

Critical AI Literacy: Preparing Learners for Algorithmic Societies

Khodabin, M., Sharifi Poor Bgheshmi, M. S., & Movahedzadeh, F.

Journal of Cyberspace Studies, Vol. 8, No. 2, pp. 371–390, 2024

AI Literacy and Digital Readiness in Iranian Media

Khodabin, M., Zibaei, F., & Piriyaei, F.

Journal of Cyberspace Studies, Vol. 7, No. 2, pp. 299–306, 2023

Mapping the Landscape of AI Literacy: An Integrative Review

Khodabin, M., Sharifi Poor Bgheshmi, M. S., Piriyaei, F., & Zibaei, F.

Socio-Spatial Studies, 2022

Anime, Consume, and Participation: Iranian Instagram Users' Participation in Anime Fandom Activities

Golmohammadi, A., Khodabin, M., & Sabbar, S.

Journal of Cyberspace Studies, Vol. 5, No. 2, pp. 163–176, 2021

Disability Representation in Japanese Anime: The Case Study of Watching Anime Influence on Iranian Audiences' Thinking of Disability

A., Khodabin, M., Golmohammadi, & Sabbar, S.

Master Thesis, 2021

Skills

Programming

  • Python (Pandas, NumPy, Spark, Streamlit, Plotly)
  • OOP Programming
  • RStudio
  • TensorFlow (familiar)

Data & Analytics

  • SQL
  • T-SQL
  • DBeaver
  • Power BI
  • IBM SPSS
  • ML/AI Testing

Productivity

  • Microsoft Office

Languages

PersianNative
EnglishFluent
FrenchPre-Intermediate

Certificates

Overall Score: 98

TOEFL · 2026

Programming For Everybody (Starting with Python)

Coursera & University of Michigan

Python Data Structure

Coursera & University of Michigan

Data Analytics Essentials

Coursera & IBM

Excel Essentials for Data Analytics

Coursera & IBM

Let's Connect

I'm always happy to connect with fellow researchers, data practitioners, or anyone curious about AI and its societal implications. Feel free to reach out.

Want to see what I'm thinking about?

Read my blog