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The People behind Zoorna

We bring together researchers, linguists, and technologists passionate about making AI truly multilingual and socially responsible. Collaboration is at the heart of how we work—bridging expertise in linguistics, NLP, social science, and real-world applications to tackle complex challenges.

At Zoorna, diverse skills and backgrounds aren’t just valued, they’re essential. Building AI that works across cultures and communities requires a team that reflects that same diversity. As we grow, we’re committed to fostering an inclusive, collaborative environment where innovation and ethical AI development thrive.

Our Team

Team Members

Dr. Karine Megerdoomian

Dr. Karine Megerdoomian

Founder and Director

Karine is a linguist specializing in multilingual natural language processing and computational social science. She has over two decades of experience advancing linguistically grounded approaches to technology and education.

E. Garcia

E. Garcia

AI Engineer

To be added

Rayyan Merchant

Rayyan Merchant

Computational Linguist

With degrees in Linguistics and Computer Science, Rayyan's research focuses on low-resource languages such as (Tajik) Persian.

Ali Salehi

Ali Salehi

Computational Linguist

Ali is a PhD candidate in Computational Linguistics at the University of Buffalo. He specializes in computational approaches to Kurdish and other Iranian languages.

Andrew Megerdoomian

Andrew Megerdoomian

AI Research Assistant

Andrew has a degree in Cognitive Science from UCSD and is currently working on AI and education tools for Armenian.

Ahmed Alkuraydis

Ahmed Alkuraydis

NLP Intern

Ahmed is a Ph.D. student in Linguistics and Masters in Human Language Technology (U. of Arizona in Tucson). His research is on Arabic syntax and topic modeling.

Join Us

What We Do

We’re a new organization still building our team of people passionate about multilingual AI, ethical technology, and the intersection of language and society. While we’re not currently hiring paid staff, we welcome:

  • Research Interns (Unpaid): Opportunities to contribute to projects in multilingual NLP, low-resource language modeling, and socially responsible AI. Flexible, remote-friendly, and ideal for those looking to gain experience in linguistically grounded AI research while contributing to impactful areas such as education, language inclusion, geopolitical analysis and event tracking, cultural analytics, and public policy applications. 
    Apply here.

     

 

  • Collaborators: Academics, NGOs, native speakers of minority or low-resource languages, or developers interested in co-creating tools, datasets, or research initiatives with us.

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