Matthew Jörke

ABOUT

I'm a researcher in human-AI interaction, currently an AI Safety Fellow at Anthropic. I care about designing AI systems that promote human agency, empowerment, and wellbeing.

I recently completed my PhD in Computer Science at Stanford University, where I was co-advised by Prof. James Landay in human-computer interaction and Prof. Emma Brunskill in artificial intelligence. During my PhD, I studied and designed technologies to support health behavior change and wellbeing.

PUBLICATIONS * indicates equal contribution

CHI '26

Bloom: Designing for LLM-Augmented Behavior Change Interactions.

trophy Best Paper Award

↗ Website

Matthew Jörke, Defne Genç*, Valentin Teutschbein*, Shardul Sapkota, Sarah Chung, Paul Schmiedmayer, Maria Ines Campero, Abby C. King, Emma Brunskill, James A. Landay.

UIST '26

"What Are You Really Trying to Do?": Co-Creating Life Goals from Everyday Computer Use.

Shardul Sapkota, Matthew Jörke*, Zane Sabbagh*, Omar Shaikh, Grace Wang, James A. Landay.

UIST '26

Generative Experiences for Digital Mental Health Interventions: Evidence from a Randomized Study.

Ananya Bhattacharjee, Michael Liut, Matthew Jörke, Diyi Yang, Emma Brunskill.

CHI '25

GPTCoach: Towards LLM-Based Physical Activity Coaching.

Matthew Jörke, Shardul Sapkota, Lyndsea Warkenthien, Niklas Vainio, Paul Schmiedmayer, Emma Brunskill, James A. Landay.

AAAI '25

Cost-Aware Near-Optimal Policy Learning.

Joy He-Yueya, Jonathan Lee, Matthew Jörke, Emma Brunskill.

CHIL '24

Adaptive Interventions with User-Defined Goals for Health Behavior Change.

Aishwarya Mandyam*, Matthew Jörke*, William Denton, Barbara E. Engelhardt, Emma Brunskill.

CSCW '24

"They Make Us Old Before We're Old": Designing Ethical Health Technology with and for Older Adults.

award_star Best Paper Honorable Mention

Jianna So, Samantha Estrada, Matthew Jörke, Eva Bianchi, Maria Wang, Nava Haghighi, Kristen L. Fessele, James A. Landay, Andrea Cuadra.

CSCW '24

Improving Work-Nonwork Balance with Data-Driven Implementation Intention and Mental Contrasting.

Yasaman S. Sefidgar, Matthew Jörke, Jina Suh, Koustuv Saha, Shamsi Iqbal, Gonzalo Ramos, Mary Czerwinski.

DIS '23

A Workshop-Based Method for Navigating Value Tensions in Collectively Speculated Worlds.

↗ Website

Nava Haghighi*, Matthew Jörke*, Yousif Mohsen, Andrea Cuadra, James A. Landay.

IUI '23

Pearl: A Technology Probe for Machine-Assisted Reflection on Personal Data.

Matthew Jörke, Yasaman S. Sefidgar, Tallie Massachi, Jina Suh, Gonzalo Ramos.

CSCW '23

Explanations Can Reduce Overreliance on AI Systems During Decision-Making.

award_star Best Paper Honorable Mention

Helena Vasconcelos, Matthew Jörke, Madeleine Grunde-McLaughlin, Tobias Gerstenberg, Michael S. Bernstein, Ranjay Krishna.

ICML '22ReALML Workshop

Simple Regret Minimization for Contextual Bandits Using Bayesian Optimal Experimental Design.

Matthew Jörke, Jonathan Lee, Emma Brunskill.

EMNLP '20Findings

Attending to Long-Distance Document Context for Sequence Labeling.

Matthew Jörke, Jon Gillick, Matthew Sims, David Bamman.

C&C '19

Hybrid Microgenetic Analysis: Using Activity Codebooks to Identify and Characterize Creative Process.

Cesar Torres, Matthew Jörke, Emily Hill, Eric Paulos.

PROJECTS

Adaptive UIs. HfG Schwäbisch Gmünd.

2019

Freeform Modeling Workshop. HfG Schwäbisch Gmünd.

2019

Logistic Regression & Information Theory. UC Berkeley.

2018