I am a Research Assistant Professor at the Graduate School of Education and Computer Science (by courtesy) at Stanford University. I am also the Ram and Vijay Shriram Faculty Fellow at the Institute for Human-Centered AI (HAI) and a core faculty member of Stanford HCI. My research sits at the intersection of Human-Computer Interaction (HCI) and the Learning Sciences. I study ways to augment human learning using AI by (1) engaging in cognitively informed design practices, (2) co-designing with learners and educators, and (3) developing transformative AI-enabled learning experiences. Through my research, I also contribute tools and methodologies that prioritize ethical considerations, responsible design practices, and human values when creating AI experiences. I received my PhD in Information at the University of Michigan, advised by Eytan Adar.
harihars [at] stanford [dot] edu 
Office: CERAS 506 
Admin: Emily Marie Farrell 
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hari subramonyamWe received an NSF grant to investigate Pair Programming with Intelligent Social Agents.
We received a Generative AI Seed Grant from Stanford Accelerator for Learning to develop generative AI tools for authoring interactive simulations.
I am a Faculty Participant at the newly formed AI Institute for Exceptional Education funded by the NSF. We will develop AI enabled interventions to support childrens' speech and language development.
"From Thought to Prompt: Cognitive Design Challenges in Human-LLM Interactions" at Aalto University.
I will be at UIST 2023 in San Francisco where we will present our work on Spellburst
I will be at IEEE VIS 2023 in Melbourne to present our paper on Generalizability of VIS4ML Research
I will be attending CSCW 2023 as a panelist on LLMs and the CSCW Infrastructure, and a SIG on Designing AI-powered social computing systems
I will be at Aalto University in Finland to give a talk titled From Thought to Prompt: Cognitive Design Challenges in Human-LLM Interactions
• Jeongyeon Kim [co-advised with Maneesh Agrawala]
• Neha Rajagopalan [co-advised with Bruce McCandliss]
Masters and Undergrad:
• Jasmine Shih • Wengxi Li • Maho Khoga • Patricia Wei
I am a Research Assistant Professor at the Graduate School of Education and Computer Science (by courtesy) at Stanford University. I am also the Ram and Vijay Shriram Faculty Fellow at the Institute for Human-Centered AI (HAI) and a core faculty member of Stanford HCI. My research sits at the intersection of Human-Computer Interaction (HCI) and the Learning Sciences. I study ways to augment human learning using AI by (1) engaging in cognitively informed design practices, (2) co-designing with learners and educators, and (3) developing transformative AI-enabled learning experiences. Through my research, I also contribute tools and methodologies that prioritize ethical considerations, responsible design practices, and human values when creating AI experiences. I received my PhD in Information at the University of Michigan, advised by Eytan Adar.
Shortcomings of Visualizations for Human-in-the-Loop Machine Learning [Oct 9, 2023] 🔗
While visualizations can help developers better design, train, and understand their models, new research shows gaps between ambitions and evidence.
Spellburst: A Large Language Model-Powered Interactive Canvas for Generative Artists [Sept 13, 2023] 🔗
This new creativity support tool helps artists who work in code explore ideas using natural language and iterate with precision.
Finding a Fit with Learning Technology [Nov 22, 2022] 🔗
Hari Subramonyam and students investigate interfaces that optimize what humans and technology each do best.
New App VideoSticker Uses AI To Help Students Take Rich Notes from Video Lessons [Aug 25, 2022] 🔗
The tool allows students to break down video imagery and transcripts to ease and improve note-taking and comprehension.
In Human-Centered AI, the Boundaries Between UX and Software Roles Are Evolving [Apr 26, 2022] 🔗
"Leaky abstractions" are transforming software design and programming and leading to better, human-focused technology.