Grounded in experience.
Driven by inquiry.
Two decades in human resources, payroll systems, operations, and federally regulated environments built a foundation that now informs doctoral scholarship in Ethical Leadership at St. Thomas University and a growing body of independent research. That research spans leadership theory, organizational ethics, human cognition, artificial intelligence, technology, political economy, and more — rooted always in the questions of how people lead, how institutions behave, and what the evidence actually shows when those questions are examined carefully across disciplines.
Experience that asks questions.
Research that takes them seriously.
My career began in the regulated, exacting work of payroll and federally compliant research documentation, and grew through more than a decade of frontline operations management — leading teams of up to 47 people, owning the day-to-day, and building the human infrastructure that keeps organizations functioning. Those years raised questions I could not answer from inside the work itself: why do some leaders build trust while others erode it under the same conditions? Why do institutions so often fail to live out the values they publicly claim? What does ethical leadership actually look like when the stakes are real and the answers are not in a policy manual?
Over the past several years, I balanced primary caregiving for a family member with completing a B.S. in Leadership and an M.S. in Organizational Leadership. During that same period I developed working fluency with applied artificial intelligence and workflow automation — learning how these tools behave under real-world constraints rather than controlled demonstrations.
I am now pursuing doctoral studies in Ethical Leadership at St. Thomas University, where the focus is on leadership theory in its full scope — servant, transformational, authentic, ethical, adaptive, and distributed frameworks — and on the philosophical, psychological, and historical foundations that explain why certain approaches to leadership produce genuine human flourishing while others do not. Alongside the doctoral work, I conduct independent research that ranges more broadly: across artificial intelligence and its implications for learning and cognition, political economy and wealth concentration, human evolutionary biology, visual communication in leadership, media accountability, and the ethical dimensions of emerging technology. The thread connecting all of it is not a single subject — it is a commitment to examining whatever the question demands, from whatever disciplines the evidence requires, without deciding the answer before the research is done.
Alongside doctoral work, I conduct independent research on artificial intelligence, education, and human cognition — producing long-form investigative reports that draw from psychology, philosophy, organizational theory, and cognitive science. The research is self-directed and independently produced, grounded in the conviction that understanding complex questions requires looking at them from more than one direction.
Seven areas where I bring real depth.
Doctoral coursework examining the full spectrum of leadership theory — servant, transformational, authentic, ethical, adaptive, and distributed frameworks — with a personal foundation in servant-style leadership as a way of working with others.
End-to-end HR infrastructure for growing organizations: job architecture, ATS configuration, interview frameworks, onboarding, performance management, and benefits administration.
Client-side payroll system implementations and advisory at Paychex. FDA study documentation at NIH and MedImmune. Standing audit-readiness practices applied across every role since.
Led teams of up to 47 across recruitment, scheduling, training, and inventory. Improved retention by 15% through redesigned onboarding and lifted productivity 12% with structured performance practices.
Working fluency across Claude, Elicit, ElevenLabs, and n8n. Research-to-publication pipelines, AI-assisted source verification, and automated workflow architecture for independent research production.
Long-form investigative research on AI, ethics, education, and human cognition. Standing practice of source verification — auditing journal names, DOIs, attribution, and publisher credibility before any work goes out.
Designing and building the zeilx.ai research portfolio on Squarespace using Claude-generated HTML and CSS. End-to-end AI-assisted workflow architecture from source discovery through final formatted research output.
The four-layer
source verification protocol.
Four-Layer Source Verification · T1–T4 Reliability Scale
Every research report produced under the Zeilx Independent Research brand — and every source used in doctoral coursework — goes through a four-layer verification protocol before inclusion. This methodology was developed to address the systematic source quality failures that undermine AI-assisted research: fabricated citations, delisted journals, misattributed claims, and commercial sources dressed as scholarship.
Does the source actually exist at the claimed DOI, journal, and author attribution?
Is the publishing journal indexed in Scopus, PubMed, or Web of Science? Is the publisher credible?
Does at least one independent source confirm the core claim or finding?
Has contrary evidence been actively searched for and addressed?
Peer-reviewed journals indexed in Scopus, PubMed, or Web of Science. Nobel Prize-recognized institutions. Primary government and intergovernmental sources.
Reputable institutional publications, established think tanks, verified academic preprints with peer review pending.
Quality journalism, industry reports, and secondary sources used for context only — never as primary evidence for research claims.
Commercial newsletters, delisted journals, unverified blogs, AI-generated citations, and any source failing Layers 1 or 2.
Two bodies of active research.
A seven-report doctoral series examining the major leadership frameworks — servant, transformational, authentic, ethical, adaptive, distributed, and spiritual — through historical, psychological, and philosophical lenses. Produced as coursework for the Ethical Leadership PhD program at St. Thomas University. Not peer-reviewed or formally published.
↗Long-form investigative reports on AI in education, human evolution, cognitive science, and the future of learning. Each report is independently produced and source-verified using the four-layer methodology. Reports are shared here on zeilx.ai and are not formally published academic works.
↗Five chapters, one trajectory.
Client-side payroll system implementations, regulatory advisory, and a 95% client satisfaction rating across an assigned book of business.
FDA study documentation, data integrity protocols, and audit readiness in federally regulated research environments.
Led teams of up to 47. Improved retention 15% through redesigned onboarding. Lifted productivity 12% through structured performance practices.
End-to-end HR infrastructure for growing organizations. SharePoint knowledge hubs reducing ad hoc HR requests by 40%.
Independent research, doctoral studies in Ethical Leadership, and applied AI workflow development while managing primary caregiving responsibilities.
Four degrees, one direction.
Open to thoughtful conversations about leadership, AI, and the work in between.
For research inquiries, collaboration proposals, academic questions, or general correspondence — reach out directly. I respond within 48 hours.