Applied AI Systems
I develop AI systems that strengthen organizational workflows and improve day-to-day performance.
Computational Support for Researchers
- Course and curriculum design
- Research data management and open science practices
- Cloud-based research and teaching notebooks with Google Colab
- Custom websites for researchers, laboratories, and research projects
- Responsible LLM-assisted research and writing workflows
- Reproducible reports, books, and websites with Quarto
- Programming and computational support for publications and replication materials
- Computational training for research groups
Core Expertise
Independent Technology Evaluation
I help organizations evaluate and procure AI, data, and software solutions that fit their needs, constraints, and objectives.
Document Intelligence
I use concept-guided LLMs to extract verifiable evidence from complex document collections.
Strategic Policy and Regulatory Advisory
I assess policy and regulatory change through computational analysis of authoritative sources.
Data Systems & Communication
I design reliable data systems and pipelines that support analysis, reporting, and impactful communication.
Computational Capacity Building
I train professionals to work computationally, collaboratively, and reproducibly.
- AI architecture and requirements engineering
- Integration and refactoring of existing systems
- Testing and deployment
- Prompt design and optimization
- AI requirements and evaluation criteria
- Vendor evaluation and procurement support
- Proposal and contract review
- Independent validation and acceptance testing
- Applied natural language processing
- Ontology engineering and annotation schema design
- Human-in-the-loop evaluation
- Knowledge graphs and graph databases
- Policy, regulatory, and governance document analysis
- Stakeholder and institutional mapping
- Policy narrative and risk monitoring
- Evidence assessment and strategic response
- Data collection, cleaning, and validation
- Data modeling and visualization
- SQL and NoSQL databases
- Provenance tracking and technical documentation
- R and Python instruction
- Code and documentation review
- Computational environments for reproducibility
- Version control and containerization
Looking for a Broader Engagement?
We combine policy, data, and computation to strengthen organizational performance, readiness, and informed technology adoption.
Analysis
The Data-Literate Organization AssessmentStrategic Investigations
Implementation
Done-for-You Solutions
Advisory
Technology Due DiligenceTechnology Performance Review
Need results on a compressed timeline?Ask us about Rapid Response.
A DOCUMENT INTELLIGENCE ECOSYSTEM
The Manifold: AI for Policy Data Science
Struggling to connect fragmented information across document-heavy environments?
The Manifold is an AI-powered research ecosystem that combines public policy and ontology engineering to transform unstructured documents into knowledge graphs.
The Manifold is organized into specialized modules, each designed to extract and structure a distinct type of policy-relevant information.
Upon
Organizational Networks
Racconto
Policy-Relevant Events
Simonizer
Policy Beliefs and Narratives
From Document Overload to Strategic Advantage
Many organizations rely on information buried in regulations, social media, contracts, and countless other sources.
The Manifold expands through new modules that extract, organize, and connect policy-relevant information.
Ongoing Applied Research
My current applied research examines how LLMs can support reliable government-affairs monitoring, the generation of high-quality networked data, and effective human-AI collaboration.
REGULATORY READINESS
Regulatory Monitoring for the Data Center Industry
Rapid growth in the data center industry is creating complex regulatory, environmental, economic, and political questions for companies and host communities alike.
How can LLMs help the data center industry and host communities keep pace with increasingly dynamic environments and better understand competing policy framings?
AI & ORGANIZATIONS
Toward a Science of LLM-Augmented Work: A Playbook
Business, government, and research institutions urgently need practical guidance for the responsible and effective use of generative AI.
What procedures, standards, and best practices are needed to preserve transparency and output quality as LLMs automate parts of organizational and scientific work?
HUMAN-AI COLLABORATION
Self-Organizing Human Task Forces for AI Output Evaluation
As the cost of AI-assisted data generation falls rapidly, human oversight remains resource-intensive. Redistributing the evaluation burden is imperative.
How can users design cross-model evaluation frameworks that leverage agreement among LLMs to prioritize human review and allocate the remaining work across projects?
My Data Literacy Blog
English
How to organize your computer for data work
A beginner-friendly guide to RStudio projects, working directories, file organization, and GitHub repositories.
Rendering professional documents with Quarto
An introduction to using Quarto for polished, reproducible reports instead of assembling screenshots by hand.
Español
Libros para aprender a razonar y comunicar con datos
Breves reseñas de mis obras favoritas sobre estadística, econometría, programación y temas afines.
Programando y visualizando datos en R por primera vez
Una pre-introducción a R para personas que nunca han programado.