Introduction to Agentic AI for Research and Application Development
Capabilities- and persona-based agentic models for research, application development, and practical AI system design.
Complete teaching record ↗Teaching & learning
Teaching & Workshops
A teaching and workshop practice spanning emerging technologies. AI literacy is a central current focus.
Areas of instruction include research technology, data visualization, digital scholarship ecosystems, information design, AI ethics and science and technology studies (STS), interface design and UX, web development, visual thinking, and online learning. These areas connect technical practice with wider scholarly and sociotechnical contexts.
Recent instruction and workshop requests—including invited work with university, research, and medical communities such as UCSF—focus particularly on AI literacy, AI-assisted coding and development, and emerging AI methodologies. Emerging technologies and their integration with AI are examined both practically and within their wider contexts across research, teaching, medicine, organizations, and society.
Current instruction
AI Literacy
Model capabilities, limits, evaluation, research use, and practical literacies for working with rapidly changing AI systems.
Benchmarking Agentic AI 2026: The Topographic Jagged Frontier and NextGen Best-in-Class LLM Models
Model benchmarking, evaluation methodology, reliability, and the uneven frontier of agentic AI.
View slides ↗Deep Research with AI
Reasoning models, deep-research systems, source synthesis, and AI-assisted academic applications.
View slides ↗Harnessing AI: Large Language Models for Research and Academic Excellence
Foundational AI literacy for research: model capabilities, limits, scholarly use, and practical workflows.
View slides ↗Artificial Intelligence: From ChatGPT to Autonomous Agents
A pragmatic introduction to generative AI, autonomous agents, multimodality, and emerging applications.
View slides ↗Exploring Artificial Intelligence in Information Management
Digital-literacy training connecting AI capabilities with information management and future library services.
View slides ↗Applied methods
AI-Assisted Coding & Development
Hands-on development with language models as coding collaborators: prototyping, iteration, interface development, and research applications.
AI-Assisted Development (Vibe Coding): The Demos
Hands-on research and development workflows using AI-assisted coding, rapid prototyping, and iterative application design.
View slides ↗Vibe Coding for AI-Driven Development
An introduction to AI-assisted development for researchers, educators, and nontraditional programmers.
View slides ↗Applied research technology
Research Technology & Data Visualization
Research computing, dashboards, interactive visualization, and methods for turning complex evidence into intelligible research interfaces.
AI-Driven Data Visualization and Dashboards
Using AI and interactive visualization to move from complex research data toward intelligible analytical interfaces.
View presentation ↗Research ecosystems
Digital Scholarship Ecosystems
Open educational practice, repositories, scholarly infrastructure, digital publishing, and the institutional systems that support research communities.
Open Educational Resources Community of Learning
Online faculty and graduate-student learning environment supporting open educational practice and peer review.
View slides ↗Theory in practice
AI Ethics, STS & Relationality
Teaching and public scholarship that uses science and technology studies, feminist theory, media theory, cognitive science, and relational approaches to examine AI beyond compliance checklists.
AI Ethics, STS & Relationality
Donna Haraway, Lucy Suchman, Karen Barad, N. Katherine Hayles, and related approaches to situated knowledge, entanglement, embodiment, and human–machine relations.
Related public scholarship ↗Hayles & the Cognitive Nonconscious
Posthumanism, technogenesis, cognitive assemblages, nonconscious cognition, and distributed intelligence.
Related public scholarship ↗Varela, Ettinger & Relational Intelligence
Autopoiesis, embodiment, enaction, matrixial borderspaces, relational cognition, and alternative models of human–AI intelligence.
Related public scholarship ↗Two Solitudes of AI Interpretation
Mechanistic interpretability read alongside structural linguistics, psychoanalytic theory, feminist epistemology, and the history of science.
Read paper ↗Human-centered systems
Interface Design & UX
Interface architecture, discovery systems, visualization interfaces, learning environments, and research-tool design considered as part of technical implementation rather than as a cosmetic layer.
Interface Design & UX Portfolio
Selected work in discovery systems, research interfaces, digital experience, visualization, and AI strategy.
View portfolio ↗Research Interfaces & Prototype UX
Interface and UX work embedded across research-data systems, dashboards, curriculum builders, and experimental applications.
View interface subset →Research → explanation → curriculum
Multimodal Teaching & Curriculum Experiments
A selective set of multimodal teaching experiments that translate technical architectures, research papers, and theoretical arguments into concise visual learning forms.
AI Literacy 101: Translating Kimi K2 Model Architecture
Complex model architecture translated through NotebookLM video, narrative, personification, and visual explanation.
N. Katherine Hayles: Posthuman AI & Symbiotic Intelligence
A short theoretical video connecting cybernetics, technogenesis, cognitive assemblages, and human–AI relations.
Human/AI Collaboration: Architecture, Ethics & Relationality
A comparative teaching piece moving from co-intelligence to Barad, relationality, entanglement, and ethical decision-making.
The Data Director: A Blueprint for Scientific Interoperability
A concise visual explanation of FAIR research-data stewardship, standards, provenance, and agentic assistance.
Two Sisters: AI Video, Art History & Visual Semiotics
A visual-culture example for teaching the difference between historical representation and generative extrapolation.
AI and the Semiotics of Dolphin Communication
An interdisciplinary teaching example connecting AI, multimodality, embodied cognition, animal communication, and scientific research.
Complete video recordBrowse all LinkedIn videos ↗
Longer arc
Information Design & Visual Thinking
Earlier teaching and course-development work in visual literacy, information architecture, web publishing, and the design of learning environments.
Visual Thinking through Information Design
Interdisciplinary visual-literacy work with education, art history, and museum partners, including Visual Thinking Strategies.
View slides ↗Information Design, Web Development & Digital Publishing
Early course development in Dreamweaver, web templates, e-zine design, information literacy, and public-space visualization.
View course project ↗Teaching technology recognition
Learning design translated into systems
IMS Global GoldLearning Impact Award · APUS Online Course Guides · 2012
NUTNDistance Education Innovation Award · 2012
Creative Use of TechnologyAssociation for Continuing Higher Education · 2013
Teaching & workshop inquiries
University, research, medical, nonprofit, public-sector, and corporate audiences are welcome to inquire about invited workshops, short courses, faculty development, and executive education.
Start a teaching / workshop inquiry →