The Journalists

Editor-in-Chief

Sarah Chen is a technology journalist with 12 years of experience covering artificial intelligence, enterprise software, and digital transformation. She leads all editorial operations at AI Courses, ensuring accuracy, integrity, and relevance across all content.

Before joining AI Courses, Sarah held senior editing roles at multiple technology newsrooms, leading teams focused on startup coverage and enterprise software reporting.

Credentials: Former Senior Editor in technology media | MBA, Stanford Graduate School of Business | AI Ethics Certificate, MIT Professional Education | B.S. Computer Science, UC Berkeley

Areas of Expertise: AI Strategy, Enterprise AI, AI Ethics, Marketing Technology, Startup Ecosystems

Senior Technology Analyst

Marcus Rodriguez specializes in AI research analysis and model evaluation. With a Ph.D. in Machine Learning from Carnegie Mellon, he brings deep technical expertise to AI Courses' research coverage.

Before joining AI Courses, Marcus spent five years in applied research roles building large language model and multimodal evaluation systems.

Credentials: Ph.D. Machine Learning, Carnegie Mellon University | Former Research Scientist in private AI labs | Published 20+ peer-reviewed papers on AI

Areas of Expertise: Machine Learning, LLMs, AI Research, Model Evaluation, Technical Analysis

Business & Investment Editor

Emily Watson covers AI investing, startup ecosystems, and enterprise AI adoption. She brings 15 years of financial journalism experience to AI Courses' business coverage.

Previously, Emily was a senior correspondent covering technology M&A and venture capital for global business outlets. She has written for several finance and policy publications.

Credentials: Former Senior Correspondent in financial journalism | CFA Charterholder | M.S. Financial Journalism, Columbia University

Areas of Expertise: AI Investing, Venture Capital, Enterprise AI, M&A, Financial Analysis

AI for Business Editor

James Okonkwo covers enterprise AI transformations after 14 years of management consulting experience. He writes the practical playbooks that CFOs and COOs rely on.

James previously led regional AI transformation programs, guiding rollouts for large organizations across manufacturing, telecom, and healthcare.

Credentials: Former management consulting partner in enterprise transformation | MBA, Harvard Business School | B.Eng. Systems Engineering, University of Lagos

Areas of Expertise: Enterprise Strategy, Operational AI, Change Management, KPI Design

AI for Developers Editor

Priya Sharma deconstructs AI frameworks, coding assistants, and agent SDKs from a builder's perspective. She still commits code weekly to keep tutorials grounded.

Priya spent eight years as a staff engineer on open-source machine learning infrastructure and authored the practitioner guide "Practical ML Engineering."

Credentials: Former Staff Engineer in applied ML platforms | M.S. Computer Science, IIT Bombay | Open-source ML maintainer

Areas of Expertise: Developer Tools, MLOps, Open Source AI, Agent Frameworks

AI for Creators Editor

Maya Delgado translates generative AI into actionable workflows for designers, writers, and filmmakers. She still runs a boutique creative studio on weekends.

Maya previously served as a senior creative director at a global design software platform, helping launch AI-assisted workflows for visual teams.

Credentials: Former Senior Creative Director in digital creative tools | MFA Digital Arts, UCLA | Creative Residency alum

Areas of Expertise: Generative Art, AI Video, Creative Ops, Brand Systems

AI Investing Editor

David Nakamura covers public markets, VC, and tokenized assets. He focuses on how AI fundamentals actually flow through P&Ls.

He spent 12 years as a managing director at a global investment bank, following semiconductor and AI infrastructure sectors.

Credentials: Former Managing Director in institutional markets | CFA Charterholder | MBA, Wharton

Areas of Expertise: AI Stocks, Market Structure, Tokenized Finance, Macro Trends

AI Research Editor

Dr. Aisha Patel translates frontier-model breakthroughs for practitioners. She has authored 35+ peer-reviewed papers on trustworthy AI.

Aisha previously worked at a university AI institute researching foundation model alignment and emergent capabilities.

Credentials: Ph.D. AI, Stanford University | Former Research Scientist at a university AI institute | NeurIPS Best Paper winner

Areas of Expertise: Foundation Models, Safety Research, Academic Benchmarks, Evaluation

AI Tools Editor

Alex Thornton designs the testing harness for every AI product review. They've evaluated more than 500 productivity tools over the past decade.

Alex previously led a product reviews lab at a major consumer-tech publication, creating benchmark protocols for long-term tool comparisons.

Credentials: Former Senior Reviews Editor in consumer technology media | Product Management Certificate, Northwestern Kellogg | B.A. Journalism, University of Missouri

Areas of Expertise: Product Testing, UX Benchmarking, AI Automation, Productivity Suites

AI News Editor

Sofia Martinez leads breaking news and earnings coverage. She ensures every scoop is sourced, verified, and contextualized.

She spent nine years at an international wire service reporting from Silicon Valley and Washington, D.C., covering policy, mergers, and major AI launches.

Credentials: Former Technology Correspondent in global wire reporting | George Polk Award winner | M.S. Journalism, Columbia University

Areas of Expertise: Breaking News, Policy Analysis, Corporate AI, Global Regulation

AI Ethics Editor

Dr. Benjamin Okafor covers governance, bias, and safety. He blends a legal background with policy experience in national-level technology advisory work.

Benjamin advised public-sector policy teams on AI governance frameworks and previously taught technology ethics in graduate programs.

Credentials: Former Senior Policy Advisor in public-sector technology policy | Ph.D. Philosophy, Oxford | J.D., Georgetown Law

Areas of Expertise: AI Governance, Algorithmic Bias, Responsible AI, Law & Policy