Projects
Real-world work in ethical tech, digital policy, and trust-centered communications.
About This Portfolio
This portfolio explores the intersection of strategy, ethics, and emerging technology. Rooted in nearly a decade of strategic communications, my work bridges tech policy, risk evaluation, and stakeholder alignment with a focus on Responsible AI and digital governance. Whether translating algorithmic risks for engineering teams or designing transparent communication campaigns, I bring clarity, structure, and ethical foresight to complex environments.
Responsible Tech & AI Ethics
Focus on the societal impacts of AI, automation, and digital platforms. Dedicated to shaping ethical frameworks, equitable policies, and inclusive tech futures.
Policy & Compliance
Background in navigating strict regulatory constraints, including pharmaceutical advertising guidelines and federal education policy, and translating those rules into messaging that informs and protects.
Graduate Research
As part of my Master’s in AI Management at Georgetown University, I regularly research and write about algorithmic bias, AI infrastructure, and digital privacy. You can read my academic case studies, research projects, and policy briefs below.
Strategic Communication
Nearly a decade of experience leading high-visibility campaigns that align organizational initiatives with public interest, translating complex technical priorities into actionable strategies.
Designing Trustworthy Systems Through Strategy, Ethics, and Human Impact
My approach to technology is grounded in clarity, responsibility, and public interest. As I transition from media and tech communications into AI governance, I am building a body of work that blends hands-on algorithmic auditing, policy literacy, and communication strategy. This page features early-stage case studies, trust-centered frameworks, and evolving ideas, all rooted in the belief that tech decisions are never neutral, and strategy must serve people, not just systems.
AI Policy Primer
Focus: Translating Emerging AI Regulations
A resource summarizing current and proposed AI regulations (e.g., EU AI Act, U.S. EO on AI), translated into accessible, stakeholder-ready briefs. Includes early takes on model cards, algorithmic impact assessments, and compliance-readiness checklists.
Tools Used:
Google Docs · Airtable · Notion
Status: Initial Drafting
Deliverable: Slide deck + Policy Tracker Template
The Ethics of AI Infrastructure
Focus: Environmental Impact & Distributive Justice
Description: As Research and Content Lead for this Georgetown University graduate project (advised by Dr. Pablo Molina), I directed the research and writing on the physical and environmental impacts of Hyperscale Data Centers. This paper critiques the utilitarian justification for AI expansion and analyzes the unequal infrastructural burdens imposed on communities in Northern Virginia and Metro Atlanta.
Academic Context: Georgetown University (MPIM 5000):
Role Research & Content Lead (Co-Authored)
deliverable:
35-Page Academic Research Papers
Algorithmic Accountability Toolkit
Focus: Risk Governance for AI Systems
A toolkit that introduces non-technical stakeholders to algorithmic impact assessments, fairness considerations, and transparency benchmarks using real-world examples.
Tools Used:
Notion · Airtable · Canva or Figma
Status: Early Design
Deliverable: PDF Toolkit + Interactive Decision Tree
