Matthew Jörke
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ABOUT
I'm a final year Computer Science PhD candidate at Stanford University, where I am co-advised by Prof. James Landay in human-computer interaction and Prof. Emma Brunskill in artificial intelligence. I study and design technologies that support health behavior change and wellbeing.
PUBLICATIONS
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.
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
© Matthew Jörke, 2026