Chip Li李鸿铭

李鸿铭

Hongming(Chip) Li

Studying how people learn, collaborate, and interact with AI, and building the tools I study.

Ph.D. Candidate · University of Florida · VIABLE Lab

Portrait of Hongming (Chip) Li in front of colorful artwork
hi, it’s me, Chip!

every bud is a paper. the blue ones have their own page.

A researcher who ships.

p.s. the ship is real, this site also exists as a walkable research vessel. Board RV CHIP-01

I am a Ph.D. candidate at the University of Florida, working with Dr. Anthony Botelho at VIABLE Lab. My research investigates how people learn, collaborate, and interact with AI systems. I draw on Learning Analytics, Educational Data Mining, NLP/LLMs, and HCI to analyze complex behavioral data and to design AI-supported tools and interventions. A distinguishing aspect of my approach is that I often design and build the tools and systems I study, which lets me iterate between empirical findings and design in a tighter loop than either research or engineering alone would allow.

My current work centers on human-centered AI systems for assessment, feedback, safety, collaborative problem solving, and AI literacy, supported by the National Science Foundation, Gates Foundation, and OpenAI. I care about systems that are technically reliable, pedagogically grounded, and transparent enough for learners, researchers, educators, and end users to explore and interrogate.

I hold Master’s degrees from Johns Hopkins University (Learning Sciences & Technologies) and the University of Southampton, UK (Education), with foundational training from Capital Normal University in Elementary Education and Linguistics. I also maintain an active machine learning practice on Kaggle, where I hold Competitions Master status (global Top 1%) with multiple top-ranked finishes.

So far: 39 publications & talks, 20 systems built & shipped, 22 venues reviewed for.

Currently
Ph.D. Candidate, University of Florida
Roles
Human-AI Interaction Researcher, Full-Stack AI Developer, Kaggle Competitions Master
Focus
AI in education, learning analytics, human-AI interaction
Funded by
NSF, Gates Foundation, OpenAI

Research Interests

  • Understanding LearningLearning Analytics, Educational Data Mining, Multimodal Data Analysis, Causal Inference, Computer-Supported Collaborative Learning
  • Building AI Systems for EducationNatural Language Processing, Large Language Models, Human-Computer Interaction, Learning Engineering Tools, Instructional Design Platforms, Educational Feedback Systems
  • Ensuring Responsible AI in EducationAI Safety, Trustworthy AI, Fairness, Explainability, AI Literacy

The trail so far

  1. University of FloridaPh.D., AI in Education, in progress
  2. Johns Hopkins UniversityM.S., Learning Sciences & Technologies
  3. University of Southampton, UKM.Sc., Education
  4. Capital Normal UniversityB.A., Elementary Education & Linguistics

News

More updates on my VIABLE Lab profile

Publications

work I’ve loved making

For the complete list, visit Google Scholar. Browse curated deep dives in the publications archive.

* Corresponding author    † Equal contribution

202614 items

Conference Proceedings (Peer-Reviewed Conference)

6 items
  • Li, H.*, Kuang, H., & Botelho, A. F.* (2026, June). Can We Trust AI's Self-Assessment? Evaluating and Improving LLM Confidence Calibration in Educational Dialogue Coding. In Proceedings of the 27th International Conference on Artificial Intelligence in Education (AIED 2026), Seoul, South Korea. https://doi.org/10.1007/978-3-032-29755-6_18Long PaperAcceptance 16.7%
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  • Li, H.*, Esmaeiligoujar, S., Adhami, N., Li, H., & Huang, R.* (2026, June). “I Spend All My Energy Preparing”: Balancing AI Automation and Agency for Self-Regulated Learning in SmartFlash. In Proceedings of the International Conference of the Learning Sciences (ICLS) at the International Society of the Learning Sciences Annual Meeting (ISLS 2026) (pp. 2107–2111), Irvine, CA, USA. https://doi.org/10.48550/arXiv.2602.14431
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  • Rahimi, S.*, Li, H., Esmaeiligoujar, S., & Ercan, D. (2026, June). Rubric-Guided Generative AI for Scalable Creativity Assessment in Educational Games. In Proceedings of the International Conference of the Learning Sciences (ICLS) at the International Society of the Learning Sciences Annual Meeting (ISLS 2026) (pp. 2828–2830), Irvine, CA, USA.
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  • Zhang, S.*, Li, H.*, Lee, S.*, Lee, J.-E., Schroeder, N. L., & Botelho, A. F.* (2026, June). Assessing Student Collaboration with Multimodal Data and Large Language Models. In Proceedings of the International Conference of Computer-Supported Collaborative Learning (CSCL) at the International Society of the Learning Sciences Annual Meeting (ISLS 2026) (pp. 767–769), Irvine, CA, USA.
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  • Zhang, S.*, Zambrano, A. F.*, Li, H.*, Lee, S.*, Lee, J.-E., & Botelho, A. F.* (2026, June). Modeling and Analyzing Collaborative Dialogue States in Mathematics Problem-Solving through ONA and Hidden Markov Models. In Proceedings of the International Conference of Computer-Supported Collaborative Learning (CSCL) at the International Society of the Learning Sciences Annual Meeting (ISLS 2026) (pp. 489–493), Irvine, CA, USA.
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  • Lee, S.*, Zhang, S., Li, H., Lee, J.-E., Closser, A., & Botelho, A. F.* (2026, June). Flexibility Before Fluency: Exploring How Flexible Strategies Emerge through Collaborative Problem-Solving. In Proceedings of the International Conference of Computer-Supported Collaborative Learning (CSCL) at the International Society of the Learning Sciences Annual Meeting (ISLS 2026) (pp. 244–253), Irvine, CA, USA.Best Student Paper
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Journal Articles

2 items
  • Li, H.*, Zhang, S., & Botelho, A. F. (2026). VETTING: A dual-LLM framework for in-loop safety verification via policy isolation in educational AI. Computers and Education: Artificial Intelligence, 11, 100646. https://doi.org/10.1016/j.caeai.2026.100646
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  • Rahimi, S.*, Li, H., Esmaeiligoujar, S., Ercan, D., & Botelho, A. F. (2026). A rubric-guided multimodal approach using high-capacity LLMs provides psychometrically sound creativity assessment in learning games. Creativity Research Journal. https://doi.org/10.1080/10400419.2026.2638384
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Presentations & Talks

6 items
  • Li, H.*, Zhang, S., Lee, S. M., Trexler, M., & Botelho, A. F.* (2026, November). Don't Write It For Me: LLM-as-a-Judge as an Emerging Paradigm for AI-Scaffolded Skill Development. In the Association for Educational Communications and Technology (AECT) International Convention 2026, Chicago, IL, USA.
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  • Li, H.*, Lee, S. M., Zhang, S., & Botelho, A. F.* (2026, November). You Choose, the LLM Narrates: A Three-Layer Architecture for Narrative-Driven Decision Learning. In the Association for Educational Communications and Technology (AECT) International Convention 2026, Chicago, IL, USA.
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  • Huang, R.*, Bouwmeester, M., Li, H., Wang, G., & Orfanos, M. (2026, November). Project-Based Learning for AI Education: A Scoping Review of Conceptualizations, Pedagogical Approaches, and Research Gaps. In the Association for Educational Communications and Technology (AECT) International Convention 2026, Chicago, IL, USA.
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  • Bouwmeester, M.*, Huang, R., Wang, G., Li, H., & Orfanos, M. (2026, November). Bridging AI and Project-Based Learning: A Scoping Review of AI-Assisted PjBL Trends, Gaps, and Directions. In the Association for Educational Communications and Technology (AECT) International Convention 2026, Chicago, IL, USA.
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  • Rahimi, S.*, Esmaeiligoujar, S.*, Li, H.* (2026, April). Creativity assessment and machine creativity using generative AI in a sandbox physics game. In the American Educational Research Association (AERA) Annual Meeting 2026, Los Angeles, CA, USA.
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  • Lee, S.*, Zhang, S., Li, H., & Botelho, A. F.* (2026, April). Designing for procedural flexibility with collaborative digital whiteboards: A case study of middle school algebra. In the American Educational Research Association (AERA) Annual Meeting 2026, Los Angeles, CA, USA.
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202517 items

Conference Proceedings (Peer-Reviewed Conference)

7 items
  • Lee, S.*, Li, H.*, Zhang, S., Zhong, Z., Lee, J. E., & Botelho, A. F.* (2025, July). So What? Unpacking the Complexities in Collaborative Problem Solving with AI-Augmented Sense-Making. In Proceedings of the 26th International Conference on Artificial Intelligence in Education (AIED 2025), Palermo, Italy. https://doi.org/10.1007/978-3-031-98462-4_54Acceptance <16%
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  • Zhang, S.*, Li, H.*, Lee, S.*, Schroeder, N. L.*, & Botelho, A. F.* (2025, July). VETTING AI for Deeper Learning: Constraining LLMs to Encourage Student Inquiry. In Proceedings of the 26th International Conference on Artificial Intelligence in Education (AIED 2025), Palermo, Italy. https://doi.org/10.1007/978-3-031-99264-3_33
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  • Rahimi, S.*, Ercan, D., Gao, R., Esmaeiligoujar, S., Babaee, M., Li, H., Zhang, S., Lee, S., Closser, A., & Botelho, A. F. (2025, July). ProductiveMath: A Generative-AI-Powered App to Support Productive Failure Teaching. In Proceedings of the 26th International Conference on Artificial Intelligence in Education (AIED 2025), Palermo, Italy. https://doi.org/10.1007/978-3-031-99264-3_43Best Paper Nominee
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  • Li, H.*, Xing, W., Lyu, B., Zhu, W., Liu, Z., & Li, H. (2025, July). An Automated Aesthetic Assessment Framework of Mathematical Story Images Validated by Click Counts. In Proceedings of the 12th ACM Learning @ Scale Conference (L@S 2025), Palermo, Italy. https://doi.org/10.1145/3698205.3733923
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  • Hwang, W., Li, H., Aguinalde, A. P., Zhang, Y., Shin, J.*, Crippen, K., & Carroll, B. (2025, July). Building an Explainable Recommender System for Engineering Students' Work-Integrated Learning (WIL). In Proceedings of the 18th International Conference on Educational Data Mining (EDM 2025), Palermo, Italy. https://doi.org/10.5281/zenodo.15870223
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  • Li, H.*, & Botelho, A. F.* (2025, June). Balancing the imbalance: Enhancing MOOC discussion forum urgency prediction with LLM-generated data augmentation. In Proceedings of the Computer-Supported Collaborative Learning (CSCL) at the International Society of the Learning Sciences Annual Meeting (ISLS 2025), Helsinki, Finland. https://doi.org/10.22318/cscl2025.111336
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  • Li, H.*, Fang, Y., Zhang, S., Lee, S., Wang, Y., Trexler, M., & Botelho, A. F.* (2025, March). ARCHED: A human-centered framework for transparent, responsible, and collaborative AI-assisted instructional design. In iRAISE 2025: Innovation and Responsibility for AI-Supported Education at the 39th AAAI Annual Conference on Artificial Intelligence (AAAI 2025), Philadelphia, PA, USA. https://doi.org/10.48550/arXiv.2503.08931Spotlight PaperTravel Scholarship
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Journal Articles

1 item
  • Lee, S. M., Baral, S., Li, H., Cheng, L., Zhang, S., Thorp, C. S., St. John, J., Thompson, T., Heffernan, N., & Botelho, A. F. (2025). Developing a feedback taxonomy for math: A synergy of perspectives through data mining methods. Journal of Educational Data Mining, 17(2), 1-23. https://doi.org/10.5281/zenodo.16684563
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Presentations & Talks

8 items
  • Li, H.*, Lee, S.*, Zhang, S.*, & Botelho, A. F.* (2025, October). When AI agents battle: Can their debates transform learning and spark critical thinking? In the Association for Educational Communications and Technology (AECT) International Convention 2025, Las Vegas, NV, USA.
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  • Li, H.*, Zhang, S.*, Lee, S.*, Trexler, M.*, & Botelho, A. F.* (2025, October). LOGEN AI: Implementing a transparent human-AI collaborative tool for enhanced instructional design. In the Association for Educational Communications and Technology (AECT) International Convention 2025, Las Vegas, NV, USA.
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  • Zhang, S.*, Li, H.*, Lee, S.*, Schroeder, N. L.*, & Botelho, A. F.* (2025, October). Investigating student interactions with general and filtered ChatGPT. In the Association for Educational Communications and Technology (AECT) International Convention 2025, Las Vegas, NV, USA.
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  • Hwang, W.*, Li, H.*, & Shin, J.* (2025, October). Co-Designing an Explainable AI Educational Recommender System: A Student-Centered Approach. In the Association for Educational Communications and Technology (AECT) International Convention 2025, Las Vegas, NV, USA.
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  • Lee, S.*, Li, H.*, Zhang, S., Zhong, Z., Lee, J. E., & Botelho, A. F.* (2025, July). So What Now? AI-Augmented Sense-Making in Action: An Interactive Dashboard for Collaborative Mathematics Learning. In the 26th International Conference on Artificial Intelligence in Education (AIED 2025) Interactive Events Track, Palermo, Italy.
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  • Rahimi, S.*, Esmaeiligoujar, S.*, Gao, R.*, Celik, D.*, Li, H.*, & Botelho, A. F.* (2025, April). Supporting teachers to prepare for productive failure using an AI-powered algebra problem generator. American Educational Research Association (AERA) Annual Meeting 2025, Denver, CO, USA.
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  • Rahimi, S.*, Celik, D.*, Gao, R.*, Esmaeiligoujar, S.*, Li, H.*, & Botelho, A. F.* (2025, April). Using generative AI for automated human-creativity assessment and machine creativity in a sandbox game. American Educational Research Association (AERA) Annual Meeting 2025, Denver, CO, USA.
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  • Rahimi, S.*, Li, H.*, Celik, D.*, Esmaeiligoujar, S.*, Gao, R.*, & Botelho, A. F.* (2025, March). An Automated Human-Creativity Assessment and Machine Creativity in a Sandbox Game Using Generative AI. Society for Psychology of Aesthetics, Creativity, and the Arts Annual Conference (APA Division 10), New Haven, CT, USA.
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Invited Talks

1 item
  • Li, H., & Zhang, S. (2025, August). ARCHED: A Human-Centered Framework for Transparent, Responsible, and Collaborative AI-Assisted Instructional Design. Invited guest lecture for the Graduate User Modeling course at Worcester Polytechnic Institute (WPI), Worcester, MA. Host: Dr. Neil Heffernan.
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20246 items

Conference Proceedings (Peer-Reviewed Conference)

5 items
  • Li, H.*, Zhang, S.*, Lee, S.*, Lee, J.E.*, Zhong, Z.*, Weitnauer, E.*, & Botelho, A. F.* (2024, July). Math in motion: Analyzing real-time student collaboration in computer-supported learning environments. In Proceedings of the 17th International Conference on Educational Data Mining (EDM 2024), 533–541, Atlanta, GA, USA. https://doi.org/10.5281/zenodo.12729878
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  • Li, H.*, Lee, S.*, & Botelho, A. F.* (2024, July). This paper was written with the help of ChatGPT: Exploring the consequences of AI-driven academic writing on scholarly practices. In Proceedings of the 17th International Conference on Educational Data Mining (EDM 2024), 542–550, Atlanta, GA, USA. https://doi.org/10.5281/zenodo.12729880
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  • Zhang, S.*, Li, H.*, Li, H.*, Botelho, A. F.*, & Israel, M.* (2024, July). Investigating the dynamic change of pre- and in-service teachers' experiences, attitudes, and perceptions through CS autobiography using topic modeling. In Proceedings of the 17th International Conference on Educational Data Mining (EDM 2024), 921–926, Atlanta, GA, USA. https://doi.org/10.5281/zenodo.12729999
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  • Li, H.*, & Botelho, A. F.* (2024, July). Developing explainable AI systems to support feedback for students. In Proceedings of the 17th International Conference on Educational Data Mining (EDM 2024), 998–1002, Atlanta, GA, USA. https://doi.org/10.5281/zenodo.12730029
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  • Li, H.*, & Botelho, A. F.* (2024, June). Fine-tuning large language models for data augmentation to detect at-risk students in online learning communities. In Proceedings of the 17th International Conference on Computer-Supported Collaborative Learning (ISLS 2024) (pp. 441-442). International Society of the Learning Sciences, Buffalo, NY, USA. https://doi.org/10.22318/cscl2024.208036
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Presentations & Talks

1 item
  • Li, H.*, Zhang, S.*, Lee, S.*, & Botelho, A. F.* (2024, October). AI-enabled chatbots in educational practice: A systematic review from 2017 to 2023. Association for Educational Communications and Technology (AECT) International Convention 2024, Kansas City, MO, USA.
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20231 item

Dissertations and Theses

1 item
  • Li, H.* (2023). Post-pandemic reflections: A literature review of the digital divide in online learning in the pandemic. Master's Thesis, Education, University of Southampton. Advisor: Dr. John Woollard. https://doi.org/10.35542/osf.io/qug4h
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20221 item

Conference Proceedings (Peer-Reviewed Conference)

1 item
  • Li, H.*†, & Zhao, H†. (2022, June). Applying an online learning platform to enhance students' online education classroom learning experience during COVID-19. In 2022 8th International Conference on Humanities and Social Science Research (ICHSSR 2022) (pp. 2837-2842), Chongqing, China. Atlantis Press. https://doi.org/10.2991/assehr.k.220504.515
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Awards

Funding, Fellowships and Other Research Awards

  • Innovation in Design AwardNational AI Literacy Day
  • Emerging Learning Technology AwardAssociation for Educational Communications and Technology (AECT) DELT
  • Best Paper NomineeThe 26th International Conference on Artificial Intelligence in Education (AIED 2025)
  • Innovation and Responsibility in AI-Supported Education (iRAISE) Travel ScholarshipThe 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025)
  • School of Teaching and Learning Travel AwardUniversity of Florida
  • Doctoral Consortium Graduate Student Travel Support recipientThe 17th International Conference on Educational Data Mining (EDM 2024)
  • OpenAI, InterLearn: Advancing Fair, Inclusive, and Adaptive Educational TechnologiesPrincipal Investigator: Dr. Anthony Botelho (Award # 0000001997, $5,000)
    Co-PI: Hongming (Chip) Li    Investigating the use of large language models (LLMs) in the educational context to address challenges of fairness and representativeness, focusing on developing explainable AI (XAI) for personalized student feedback.
    Aiming to enhance AI-based feedback systems by analyzing differences between human-written and AI-generated content and creating a taxonomy of effective feedback types.

Other Awards & Recognition

  • Best Impact AwardUniversity of Southampton 2022 Academic Awards
  • Outstanding Academic ScholarshipCapital Normal University
  • Pioneer Leadership Award for Outstanding UndergraduateBeijing Municipal Education Commission
  • Distinguished Student Leader AwardsCapital Normal University and College of Elementary Education

Professional Service

Professional Activities

  • Web ChairInternational Conference on Educational Data Mining (EDM) 2026 Organizing Committee
  • Co-DirectorUF College of Education 2025 Research Symposium Committee
  • Session HostInternational Society of the Learning Sciences Annual Meeting (ISLS 2025)
  • Technology ChairUF College of Education 2025 Research Symposium Committee
  • Student VolunteerInternational Society of the Learning Sciences Annual Meeting (ISLS 2024)
  • Technology ChairUF College of Education 2024 Research Symposium Committee
  • Programme RepresentativeUniversity of Southampton
  • Vice PresidentCapital Normal University Student Union

Reviewing Service

Reviewer for Conferences

  • Association for Educational Communications & Technology International Convention (AECT)2024, 2025, 2026
  • American Educational Research Association Annual Meeting (AERA)2025, 2026
  • International Conference on Artificial Intelligence in Education (AIED)2025, 2026
  • International Conference on Educational Data Mining (EDM)2026
  • International Society of the Learning Sciences (ISLS)2024, 2025, 2026
  • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), AI for Education Day2026
  • Annual Conference on Neural Information Processing Systems (NeurIPS), Position Paper Track2025, 2026
  • Technical Symposium on Computer Science Education (SIGCSE TS)2026
  • Annual Meeting of the Association for Computational Linguistics (ACL), Student Research Workshop2025
  • AAAI/ACM Conference on AI, Ethics, and Society (AIES), Student Program2025
  • International Conference on Artificial Intelligence and Statistics (AISTATS)2025
  • International Conference on Learning Representations (ICLR), Workshop on AI4CHL2025
  • Learning Analytics and Knowledge Conference (LAK)2024, 2025
  • British Educational Research Association Annual Conference (BERA)2024

Reviewer for Journals

Cognitive ComputationDiscover ComputingDiscover EducationBMC PsychologyAustralian Journal of PsychologyDiscover Artificial IntelligenceScientific ReportsJournal of Learning Analytics (JLA)

Research & Development Highlights

research you can actually click

Tools and systems from my research and lab work, most of them now running on one platform.

UX case studiesfor hiring teams

The VIABLE Learning Platform: a teacher types what they are teaching, and a panel shows what Ask did with it

VIABLE: AI That Teaches the Way a Teacher Wants

Lead designer and architect, VIABLE Lab

A family of tools I lead the design and build of, so researchers in education and AI don’t have to build a platform for every project. Teachers use it, researchers build and study on it, and a school can run it on its own server. Each part stands on its own, and together they run one loop: the teacher’s intent reaches the AI before each reply, the reply is checked, and the evidence is tied to the version that wrote it.

Running on it: CHECKPOINT, LOGEN AI, ChronoForge, GraspableMath Dashboard, SmarterFlash, VETTING Chat, Provoking Minds, Rubber Ducking.

CHECKPOINT

CHECKPOINT: AI-Powered Assessment Platform

Research Assistant, Lead Developer & Human-AI Interaction Researcher

Catalyst PrizeRuns on VIABLE

Learning Engineering Tools Competition Catalyst Prize project for authoring, delivering, and studying AI-supported assessments, where every wrong answer names the misconception it reveals. Teachers run pre/post studies with AI-written parallel forms and effect sizes; researchers add consent, assent, and parent permission, and teachers see only how many students agreed, never who. I lead the end-to-end platform across teacher authoring, student runtime, analytics, and research workflows.

NuxtVue.jsTypeScriptLLM SystemsContext EngineeringMulti-Agent WorkflowsCloud Deployment

ChronoForge

ChronoForge: Interactive Stories for Any Subject

Lead Developer & Researcher

Runs on VIABLE

Turns a lesson into a story learners live, visual-novel style: they investigate, question the people around them, decide under pressure, and work something out with evidence in every chapter, then compare their path with the record. The teacher’s skeleton is the same for every learner while an LLM performs it live, and VETTING reviews what it writes. Eight built-in worlds span history, science, literature, civics, engineering, economics, math, and journalism ethics, and teachers adapt each one for their class.

NuxtCloudflareVIABLE AgentsVETTINGInteractive FictionScenario-Based Learning

SmarterFlash

SmarterFlash Adaptive Learning System

Product Manager & Developer

Runs on VIABLE

AI-powered flashcard and self-regulated learning system that studies the balance between automation and learner agency while adapting practice to individual learning patterns.

Machine LearningNuxt.jsVue.jsPythonOpenAI APIServerlessLearning Analytics

Pro-CaRE

Pro-CaRE: Professional Career Recommendation Engine

Lead Developer

AI-enabled recommendation system for undergraduate engineering students to craft optimal career paths through personalized internship experiences and skill gap analysis.

HTMLCSSJavaScriptPythonFastAPIRecommendation Systems

PRODUCTIVE

PRODUCTIVE: AI Math Problem Generator

Research Assistant & Full-Stack Developer

Gates Foundation

Gates Foundation-funded platform enabling teachers to generate productive failure math scenarios with LLM integration, social features, and collaborative educator community.

Vue.jsFirebaseJavaScriptLLM Integration

Rubber Ducking

Rubber Ducking Problem-Solving Tool

Developer

Runs on VIABLE

AI-powered debugging and problem-solving assistant that helps users articulate issues and receive intelligent prompts and suggestions for resolution.

JavaScriptAI IntegrationWeb APIs

NSF EAGER: Orchestrating Productive Collaboration

Research Assistant

NSF

Multimodal machine learning analysis of student collaboration in mathematics education, featuring data preprocessing workflows and unsupervised clustering algorithms.

PythonRMachine LearningTime Series Analysis

LOGEN AI

LOGEN AI: Instructional Design Studio, with Class-Ready

Research Assistant & Lead Developer & UX Researcher

Runs on VIABLE

Built on the ARCHED framework: educators describe their learners, choose Bloom’s levels, and shape AI suggestions into clear, measurable objectives, each reviewed against SMART criteria. Class-Ready, once its own app, is now LOGEN’s mode for learning to teach: teacher candidates write their own objectives, and the AI judges each one and asks a guiding question but never writes in their work, enforced on the server. Instructors can ask the AI to read a class without names, and AI-suggested grades are never saved without them.

NuxtCloudflare WorkersD1 SQLLLM IntegrationResearch Logging

GraspableMath Dashboard

GraspableMath Collaborative Learning Dashboard

AI Engineering & Full-Stack Developer

Runs on VIABLE

Interactive dashboard visualizing real-time student collaboration with AI-enhanced analytics for learning pattern extraction, sense-making, and instructional recommendations. Recent work integrates LLM support for interpretable teacher-facing insights.

Vue.jsPythonChart.jsD3.jsRESTful APIsCloudflare WorkersGemini APIServerless

VETTING Chat

VETTING Chat AI Assistant

Full-Stack Developer & UX Designer

Runs on VIABLE

AI assistant validation and safety tool for educational research, with secure identity verification and a modular deployment framework for studying how constrained and policy-aware chatbots support deeper student inquiry.

HTMLCSSJavaScriptFirebaseNode.jsExpress.jsOpenAI API

Provoking Minds

Provoking Minds: AI Agent Debate Platform

Product Manager & Lead Developer

Runs on VIABLE

AI agent debate platform designed to enhance critical thinking through structured AI-driven debates and guided analysis of arguments and logical structures.

Nuxt.jsVue.jsPythonOpenAI APICritical Thinking Analytics

Creativity Assessment

Creativity Assessment: AI-Powered Evaluation Tool

Developer

Rubric-guided multimodal creativity assessment framework using high-capacity generative AI to evaluate human and machine creativity in educational sandbox game environments.

Machine LearningPythonCreativity MetricsAssessment Analytics

VIABLE Lab Website

VIABLE Lab Research Website

Full-Stack Developer & UX Designer & DevOps Engineer

The lab’s public site, member portal, and CMS on Nuxt and Cloudflare, with automated CI/CD and a 40% performance improvement from the move off Vue.js. It also ships the `viable` CLI that members and their coding agents use to run lab content and the Developer Platform from a terminal.

Nuxt.jsVue.jsCloudflare D1GitHub ActionsNode.jsCLI

Side Projects

CiteBar

CiteBar: Real-time Google Scholar Citation Tracker

Creator & Lead Developer

macOS menu bar app that keeps Google Scholar citation metrics at hand, with milestone alerts, gentle background updates, and no accounts or telemetry. Open source, with 22 releases shaped by user requests.

SwiftSwiftUImacOSMenu Bar AppGoogle ScholarOpen Source

takeback

takeback: Ctrl+Z for AI Coding Agents

Creator & Lead Developer

Open-source CLI that turns every Claude Code or Codex turn into a checkpoint, so one command undoes an agent’s last change, including files it touched through Bash. Zero dependencies, never touches .git, and nothing leaves your machine.

TypeScriptNode.jsCLIClaude Code PluginCodex HooksOpen Source

Websites to Worlds

Websites to Worlds: Agent Skill for Explorable 3D Sites

Creator & Lead Developer

Portable agent skill that guides Claude Code, Codex, or Cursor through turning a website into a content-complete, explorable 3D world, from concept and modeling to HUD, interaction, and browser QA. Distilled from building this site’s research vessel, RV CHIP-01.

Agent SkillsThree.jsWebGLClaude CodeCodexOpen Source

ChatcatGPT

ChatcatGPT: Customizable AI Assistant

Creator & Full-Stack Developer

A streamlined, customizable AI assistant web application that utilizes the OpenAI API. Features both web-hosted and offline versions, allowing users to tailor AI assistant identity and capabilities to their specific needs.

HTMLCSSJavaScriptOpenAI APIWeb ApplicationOffline Support

Open-Source Contributions

rea

rea: Reverse Engineering with AI Agents

Open Source Contributor · 3 merged pull requests

Contributed to rea, an MIT-licensed tool for reverse engineering apps and binaries with AI agents: wide characters no longer invent blank terminal cells in captured output, an attached disk image now comes with recovery guidance, and nested Hermes home routing is documented and tested.

OpenMAIC

OpenMAIC: Open Multi-Agent Interactive Classroom

Open Source Contributor · 3 merged pull requests

Contributed to OpenMAIC, Tsinghua’s open-source multi-agent interactive classroom: scene-generation retries are bounded per page so failed pages recover cleanly, imported shape labels keep their insets through editing, and the whiteboard clears stray text selection when panning starts.

Google Gemini CLI

Google Gemini CLI

Open Source Contributor

Contributed to Google’s official Gemini CLI tool, a command-line interface for interacting with Gemini AI models.

OpenAI Codex Desktop

OpenAI Codex Desktop App

Open Source Issue Contributor

Contributed to diagnosing a Codex Desktop issue in the public open-source tracker through local reproduction, diagnostic evidence gathering, environment-specific behavior documentation, and validation of a temporary workaround.