PhD Candidate @ UW iSchool
Marx Wang
Hi! 👋 I'm a third year PhD student at the University of Washington Information School, advised by Alexis Hiniker and Anind Dey at the User Empowerment Lab.
My research sits at the intersection of HCI and
LLM Affective Alignment. I study how people —
especially young adults — relate to conversational AI, and what
happens when those systems get emotions wrong. My work spans both
mix-method empirical studies of how users engage with conversational
agents and technical methods for auditing and modulating the emotional
behavior of language models.
Some of my recent methods: qualitative conversation analysis grounded in developmental psychology, computational psycholinguistics/NLP (LIWC, NRC-VAD, RoBERTa), and mechanistic interpretability using Sparse Autoencoders to identify and steer affect-aligned features in LLM activations.
I also run ForYouPage.org, a youth-led nonprofit for mental health advocacy reaching 30,000+ members across 6 continents. I host conferences at UNGA🌍
Outside of research, you can find me doing MMA 🥊 and standup comedy (which collectively prepare me for paper rebuttals one day).
If any of this resonates — let's grab coffee ☕ and chat!
marxwang at uw dot edu
Publications
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Under Review 2025Botsplaining Human Vulnerability: An In-Depth Case Study of Youth Self Disclosure with ChatGPT -
Under Review 2025From Emotional Mirroring to Emotional Attunement: Do LLMs and Humans Attune to Each Other -
CHI Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026Decoupling of Usefulness and Novelty: Evaluating the Impact of Generative AI on Design Outputs and Designers' Creative Thinking -
CSCW Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1), 1–30, 2024Understanding the Relationship Between Social Identity and Self-Expression Through Animated GIFs on Social Media -
VL/HCC 2024 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2024Piggybacking on IFTTT to Connect Triggers and Actions with JavaScript -
AIES AAAI/ACM Conference on AI, Ethics, and Society (AIES '22), 2022Civil War Twin: Exploring Ethical Challenges in Designing an Educational Face Recognition Application -
UIST UIST '22 Adjunct, 2022TaskScape: Fostering Holistic View on To-do List With Tracking Plan and Emotion -
UIST UIST '22 Adjunct, 2022Echofluid: An Interface for Remote Choreography Learning and Co-creation Using Machine Learning Techniques -
UIST UIST '22 Adjunct, 2022iThem: Programming Internet of Things Beyond Trigger-Action Pattern -
Frontiers Frontiers in Virtual Reality, 2021The Effects of Incorrect Occlusion Cues on the Understanding of Bare-handed Referencing in Collaborative Augmented Reality -
CSCW CSCW '20 Companion, 2020Understanding the Challenges of Online Group Chat for Productive Discourse at Scale
Teaching
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Lecturer, University of Washington Fall 2025 – 2026INFO 380: Information Systems and Management (2 quarters)
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Teaching Assistant, University of Washington Fall 2023INFO 300: Research Methods (2 quarters)
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Teaching Assistant, University of Washington Fall 2023INFO 380: Information Systems and Management (2 quarters)
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Graduate Teaching Assistant, Virginia Tech Fall 2021User Interface Software · with Dr. Kurt Luther · 78 students
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Graduate Teaching Assistant, Virginia Tech Spring 2022Professionalism in Computing · with Dr. Daniel Dunlap · 200 students
CV
For the full version, download my CV below.
Download CV (PDF)