Georgetown University
2017 — presentAI Adjunct Faculty, School of Continuing Studies
Teaches in the graduate Project Management track, created the AI For Leaders course, and serves on the Advisory Board of the MPS in Project Management.

Areas of expertise
Director of AI Enablement, Wolters Kluwer
Adjunct Faculty, Artificial Intelligence — Georgetown University, School of Continuing Studies
Faculty, Artificial Intelligence — Open Institute of Technology (OPIT)
Biography
Zorina Alliata is an artificial intelligence leader with more than ten years of experience defining and delivering enterprise AI programs. She serves as Director of AI Enablement at Wolters Kluwer, where she leads AI strategy, architecture and governance as a member of the enterprise AI Center of Excellence. Previously she was Principal AI Strategist at Amazon Web Services, advising global enterprises across North America, EMEA and Latin America on machine learning and generative AI adoption.
Her career spans software engineering at The NASDAQ Stock Market, data science leadership at GEICO, and machine learning delivery at Capital One's Center for Machine Learning. Her current work focuses on semantic layers, knowledge graphs and domain ontologies as the foundation for reliable enterprise AI, and on the operating models that make Responsible AI practical at scale.
She teaches artificial intelligence at Georgetown University's School of Continuing Studies, where she created the AI For Leaders course and serves on the Advisory Board of the MPS in Project Management, and at the Open Institute of Technology, where she is faculty for the AI master's track. She is a frequent international speaker, the author of two professional books and several online courses, and a published writer of literary and science fiction.
She holds an MBA and a BSc in Computer Science from the Technical University of Iasi, Romania, and is a PhD candidate at the Academy of Economic Studies in Bucharest. Her doctoral research focuses on AI agents, market manipulation, algorithmic trading, market volatility, and knowledge graphs for financial intelligence.

Experience
Teaching, leadership & service
AI Adjunct Faculty, School of Continuing Studies
Teaches in the graduate Project Management track, created the AI For Leaders course, and serves on the Advisory Board of the MPS in Project Management.
AI Faculty, Master program
Faculty for the AI track and course creator for Computing Architectures for AI and Data Science in Business.
Instructor
Teaches Agile and Project Management courses for professional audiences.

Leadership & service
Chair, Artificial Intelligence Committee
Vice-Chair then Chair, democratizing AI across the membership, organizing workshops and conferences, reviewing Grace Hopper submissions, and mentoring members.
Fractional CTO
Technology leadership for a startup applying knowledge graphs to enterprise knowledge management.
Board Member
Board of a governance training institute serving hundreds of clients in over 20 countries.
Scholarship Awards Committee
Fairfax County Volunteer of the Year 2017. Coordinated A Day on the Hill and awarded scholarships to young women in STEM.
Service Committee Member, AWS group
Supporting events, job fairs and speaking engagements for women advancing their careers in tech.
Mentor
Teaching programming to kids at local schools with the AWS team.
Research & publications
PhD research
Doctoral research on autonomous AI agents that identify and reason about market manipulation, algorithmic trading anomalies, and volatility signals in financial markets.
PhD research
Construction of semantic knowledge graphs that connect market entities, events, and sentiment to support explainable detection of irregular trading patterns.
PhD research
Analysis of how algorithmic trading activity relates to market volatility, with experiments on real-world market events including the March 2023 Silicon Valley Bank run.
PhD research
Investigation of large language models as autonomous agile delivery agents, evaluating their ability to manage ceremonies, artifacts, and team follow-ups.
Applied architecture
A reference approach for catching drift in production models, published on the AWS Architecture Blog.
Applied architecture
Operational excellence patterns for generative AI solutions on Amazon Bedrock, published on the AWS Machine Learning Blog.
Open source
Alongside her research, Zorina develops and publishes software. Her public repositories include prototypes from her doctoral work, applications built for the nonprofit and volunteer organizations she serves, and independent technical experiments.

Speaking & writing

Recent talks
Non-fiction books
A practical guide for anyone trying to break into technology without a traditional path.
View on AmazonCourses
Fiction & science fiction
Outside her professional writing, Zorina is a published author of literary and science fiction. Her titles are available through her Amazon author page.
My books on AmazonPersonal
Born and raised in Romania, Zorina has lived in the United States for the past three decades and is based in the Washington, DC area with her husband, their son, a large dog and two cats.
A significant part of her career has been dedicated to broadening participation in artificial intelligence — mentoring women in technology, supporting first-generation technologists, and creating pathways for professionals entering the field from non-traditional backgrounds.

