Analytics + AI for Business
Solving organizational problems through NLP, machine learning, and behavioral analytics — from predicting user engagement to optimizing decision making with AI.
Research
Research at the intersection of information engagement, computational linguistics, responsible AI, and pedagogy.
At a Glance
- 9 Research projects
- 3 Featured projects
- 5 Publications & manuscripts
- 4 Talks
- Methods NLP, HCI, design research
- Focus AI, information behavior, teaching
My research agenda centers on three interconnected pillars:
Information Systems Design
Studying how people interact with information systems in real-world settings — and designing products that are trustworthy, usable, and evidence-based.
AI/ML Pedagogy
Developing curricula and teaching approaches that prepare students to use AI tools responsibly and effectively — from Python to LLMs.
Research interests
- Artificial Intelligence
- Machine Learning
- User Experience
- Ethics of AI
- Human-Computer Interaction
- Decision-Making
- Digital Learning
- Computational Linguistics
- Information Behavior
- Behavioral Economics
- Natural Language Processing (NLP)
- Content Strategy
- Design Research
- Computers and Society
Toolkits & methods
- Usability studies, contextual inquiry, surveys
- Python + NLP (spaCy, NLTK), data science (pandas, scikit-learn)
- Design research, content strategy, qualitative + quantitative analysis
Featured research
Legacy-backed foundations and current research directions
Sticky Words
Doctoral research on how phrasing shapes information engagement, using computational linguistics to assess and improve the language people encounter online.
Less Is More
A study of how content volume on landing pages influences conversion and engagement, based on large-scale online experiments in real commercial settings.
Information Engagement
Foundational research integrating information behavior and user engagement to explain how people encounter, interpret, and act on information systems.
Additional research
Current and emerging work
Manuscripts in preparation
- Predicting information engagement using computational linguistics and NLP (under review).
- The Ways of Words: Impact of word choice on engagement and decision making.
- Phrasing for Success: Optimizing information engagement with AI and computational linguistics.
- Unified understanding of information engagement: literature review across HCI and behavior.
- Teaching IT and product design in MBA programs: qualitative exploration.
Selected publications
- Sticky Words: A Computational Linguistics Approach to Assessment and Manipulation of Information Engagement. Doctoral dissertation, 2022.
- Process of information engagement: Integrating information behavior and user engagement. Proceedings of ASIS&T, 57(1), 2020.
- Systematic improvement of user engagement with academic titles using computational linguistics. Informing Science and IT Education Conference, 2019.
- When less is more: Consumer behavior and information sharing on landing pages. Informing Science, 2018.
- What is user engagement? Interdisciplinary perspective on interactions with IT. Interdisciplinary perspective on interactions with IT, 2018.
Recent talks
- Does phrasing matter? Using generative text to improve information engagement and UX. ILAIS, 2023.
- What do users read? Predictive models of information engagement. ILAIS, 2021.
- Sticky words: linguistic analysis for better information interactions. ICIS / ASIS&T, 2018.
- Less is more: digital content volume and engagement. UXPA International / Informing Science, 2018.