01 / PRACTICE
I develop AI systems that strengthen organizational workflows and improve day-to-day performance.
I help organizations evaluate and procure AI, data, and software solutions that fit their needs, constraints, and objectives.
I use concept-guided LLMs to extract verifiable evidence from complex document collections.
I assess policy and regulatory change through computational analysis of authoritative sources.
I design reliable data systems and pipelines that support analysis, reporting, and impactful communication.
I train professionals to work computationally, collaboratively, and reproducibly.
02 / BROADER ENGAGEMENTS
Policy Data Science Consulting LLC provides services in organizational improvement, implementation, technology review, and strategic investigations.
We combine policy, data, and computation to strengthen organizational performance, readiness, and informed technology adoption.
Engagement models
ANALYSIS ENGAGEMENTS
IMPLEMENTATION ENGAGEMENTS
EXPEDITED ENGAGEMENTS
ADVISORY ENGAGEMENTS
03 / RESEARCH PARTNERSHIPS
I partner with universities, research institutions, and individual scholars to strengthen computational capabilities, research practices, and scientific communication.
Course and curriculum design
Reproducible reports, books, and websites with Quarto
Cloud-based research and teaching notebooks with Google Colab
Custom websites for researchers, laboratories, and research projects
Responsible LLM-assisted research and writing workflows
Research data management and open science practices
Programming and computational support for publications and replication materials
Computational training for research groups
04 / A DOCUMENT INTELLIGENCE ECOSYSTEM
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.
Organizational Networks
Policy-Relevant Events
Policy Beliefs and Narratives
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.
05 / CURRENT AGENDA
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
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
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
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?
06 / WRITING
ENGLISH
An introduction to using Quarto for polished, reproducible reports instead of assembling screenshots by hand.
ESPAÑOL
Breves reseñas de mis obras favoritas sobre estadística, econometría, programación y temas afines.
ENGLISH
A beginner-friendly guide to RStudio projects, working directories, file organization, and GitHub repositories.
ESPAÑOL
Una pre-introducción a R para personas que nunca han programado.
