Jeffrey Oh

About me

Hello! I’m Jeffrey Oh, a mixed-methods UX researcher based in Pennsylvania. I hold an M.S. in Informatics (Human-Computer Interaction) and a B.S. in Information Sciences and Technology, both from Penn State.

Right out of the gate, I found myself working as an IT Specialist for a wholesale company. After some time I realized I was in a position where I couldn’t create scalable, creative solutions for the company. So I switched to a field where I, the users and the company could work together to create something amazing: UX.

Today I combine qualitative research with Python-based data analysis. At Penn State I led research on how people perceive and play mobile games: I ran 30+ semi-structured interviews, helped consolidate 954 qualitative codes into shared themes, and turned the findings into design recommendations. I’m a published HCI researcher, and I care most about translating behavioral evidence into decisions a product team can act on.

My research interests are AI interaction, dark patterns, usability and data science.

Resume (PDF, 86 KB) LinkedIn
Jeffrey in a graduation gown, smiling and holding a bouquet of flowers above his head outside a stadium.

Experience and education

  1. 2024 - 2026UX Researcher, Penn State University. Led research on mobile-game user perception and behavior: interviews, qualitative coding, thematic synthesis and reporting.
  2. 2023 - 2025M.S., Informatics (Human-Computer Interaction), Penn State University
  3. 2023 - 2024HCI Researcher, Penn State University. Computational research on sentiment differences between likely-bot and likely-human accounts.
  4. 2021 - 2022IT Specialist, Amekor Industries. Built Python automation tools and Confluence and Jira workflows.
  5. 2021 - 2022UX Specialist, myRelocation Guide
  6. 2021Freelance UI Designer
  7. 2020UI Designer, Penn State UXPA
  8. 2019IT Manager
  9. 2017 - 2021B.S., Information Sciences and Technology, Penn State University

Publication

Moradzadeh, S., Oh, J. S., Gui, X., & Kou, Y. (2025). Fake Game but Real Play: Exploring Player Motivations and Coping Strategies with Fake Games. Proceedings of the ACM on Human-Computer Interaction, 9(6), 606-636.

Skills

Research

Semi-structured interviews, user research, thematic analysis, inductive coding, usability testing, A/B testing, focus groups, affinity mapping

Data and AI

Python, Pandas, SciPy, Matplotlib, Seaborn, VADER, TextBlob, NLP, statistical analysis

Design and prototyping

Figma, Axure, Miro, wireframing, lo- and hi-fi prototyping, user flows, user journeys, atomic design

Collaboration and tools

Jira, Confluence, Maze, research audit trails, process mapping, AI-accelerated product development