Associate Professor at the University of Virginia

AI, applied science, and digital platforms

I study how AI works, how people engage with AI-generated content, and how those interactions influence individual behavior and society at large. Alongside my research, I develop AI-based applications, including luukai.io, an AI engine optimization platform for small businesses, and peerpen.app, an AI tool for academic peer review.

Published in ISR, JMIS, JAIS, Journal of Marketing, and Political Research Quarterly
Current role Associate Professor, University of Virginia
Previous role Lead Data Scientist at State Farm Insurance

About

Researcher, educator, and applied AI practitioner.

My work focuses on how AI operates, how people consume and respond to AI-generated content, and how those interactions influence individual behavior and society at large. In parallel with my research, I develop AI-based applications, including luukai.io, an AI engine optimization platform for small businesses, and peerpen.app, an AI tool for academic peer review.

At UVA, I teach undergraduate and graduate students about the inner workings of AI and how it can be used to address practical and consequential problems.

Expertise

AI and analytics, NLP, LLMs, generative AI, digital platforms, healthcare information systems

Education

Ph.D. Arizona State University, MBA University of Tehran, B.Sc. Sharif University of Technology

Selected Research

Representative work across AI, behavior, and digital platforms.

Forthcoming | Information Systems Research

From Lexicons to Large Language Models: A Holistic Evaluation of Psychometric Text Analysis in Social Science Research

Psychometric NLP, LLM evaluation, and measurement in social science text analysis.

Forthcoming | Journal of Marketing

Healthy Relationships and Healthy Eating: How Stressful Events and Social Support Affect Indulgence

Behavioral modeling and computational analysis of stress, support, and consumer response.

2026 | Journal of Information Technology

Generative Artificial Intelligence for Literature Reviews

Generative AI and LLM-enabled workflows for literature review and scientific synthesis.

2024 | Information Systems Research

Resilience Messaging: The Effect of Governors’ Social Media Communications on Community Compliance During a Public Health Crisis

NLP-driven analysis of social media messaging, public communication, and behavioral response.

2024 | Journal of the Association for Information Systems

A Knowledge Management Perspective of Generative Artificial Intelligence

Generative AI and LLMs through an organizational and knowledge-management lens.

2020 | Journal of Management Information Systems

Harnessing Artificial Intelligence to Improve the Quality of Answers in Online Question-answering Health Forums

AI-assisted quality assessment for health forums using language and answer-level signals.

2020 | Information Systems Research

The Voice of the Customer: Managing Customer Care in Twitter

Social media language, customer care, and digital service outcomes at scale.

2019 | Information Systems Research

The Impact of Twitter Adoption on Lawmakers’ Voting Orientations

Digital platform adoption, political behavior, and large-scale social media data analysis.

Work

Current focus, teaching, and applied work.

Current research

Ongoing projects examine fairness in consumer communication, generative AI and literature reviews, persuasion, brand sentiment, and social behavior.

Teaching

Courses include advanced AI and business analytics, research methods, programming, and project management across undergraduate, masters, and doctoral programs.

Applied AI

I develop AI-based applications, including luukai.io, an AI engine optimization platform for small businesses, and peerpen.app, an AI tool for academic peer review.

Connect

Open to research, teaching, and applied AI collaboration.