Manager, Data and Analytics · University of Denver — Daniels College of Business
Empirical and qualitative research on how artificial intelligence is changing the global economy and the individual.
Kyle Wisniewski is Manager, Data and Analytics at the University of Denver — Daniels College of Business. He integrates institutional sources, defines reporting rules, and builds role-based dashboards for faculty, department heads, and the Dean’s Office.
His research asks how AI changes organizations, markets, and the economy, and publishes the evidence with its assumptions and limits stated.
He pursues that question through the Quantitative Markets & Institutions Lab, which publishes independent and reproducible quantitative research, and the MS in Applied Quantitative Finance and MA in Global Economic Affairs, pursued concurrently at the University of Denver with expected completion in June 2028. The research is not investment advice.
Short answers, each traceable to the record below.
Kyle Wisniewski is Manager, Data and Analytics at the University of Denver — Daniels College of Business, where he integrates institutional sources, defines reporting rules, and builds role-based dashboards for faculty, department heads, and the Dean’s Office. Alongside that role he studies how AI changes organizations, markets, and the economy, and publishes the evidence with its assumptions and limits stated.
Kyle Wisniewski researches how AI changes organizations, markets, and the economy: its effects on company revenue, costs, capital spending, valuation, and the wider economy. The work is published in two places — Institutional AI Investment, a ledger of what institutions have committed to the AI buildout, and the Quantitative Markets & Institutions Lab, an independent quantitative-finance research program. The research areas are an agenda rather than company coverage, and none of it is investment advice.
The Quantitative Markets & Institutions Lab is Kyle Wisniewski’s independent, reproducible quantitative-finance research, published in full with the code that produced it. It holds six executed investigations — four empirical studies and two numerical validations — supported by 204 theory-anchored quantitative tests and version-pinned reproduction. The empirical work runs on one frozen 15-ETF sample, which is bounded evidence about that sample rather than a claim about every investable market.
Every investigation in the lab declares its question, data, uncertainty, and failure criteria before it reports a result. The published standard sets three conditions for an inspectable result: traceable data, where sources, dates, transformations, missingness, hashes, and frozen vintages stay attached to the result; testable models, where identities, limiting cases, convergence behavior, holdouts, calibration, and stress tests define what can fail; and bounded conclusions, where uncertainty, limitations, rejected claims, revisions, and the affected decision are reported together. Rejections and revisions stay published.
Institutional AI Investment is a dated, sourced ledger of institutional AI actions that carry a stated economic magnitude — capital commitments, policy, compute and energy contracts — together with the analyses built on it. Each row cites the source it was read from, and the whole ledger is published as data under CC BY 4.0 as well as on the page. The magnitudes are what actors announced, not what they have deployed.
Kyle Wisniewski is pursuing two master’s degrees concurrently at the University of Denver: an MS in Applied Quantitative Finance at the Daniels College of Business and an MA in Global Economic Affairs at the Josef Korbel School of Global and Public Affairs, both expected in June 2028. Concurrent candidacy means simultaneous enrollment in two programs, admitted to separately, with neither degree’s required credits reduced. Both are candidacies in progress; neither degree has been conferred.
Kyle Wisniewski’s finance credentials are three Bloomberg for Education certificates, each with the certificate itself attached to its page. Bloomberg Market Concepts covers economic indicators, currencies, fixed income, equities, and Bloomberg Terminal literacy; Bloomberg Finance Fundamentals covers the core mechanics of financial markets and instruments; Bloomberg ESG covers environmental, social, and governance frameworks — how sustainability factors are measured, reported, and priced. His completed degree is a BA in Business Administration from Western Colorado University, with emphases in Business Analytics and Innovation & Entrepreneurship.
Kyle Wisniewski at the New York Stock Exchange during FIN 4800, An Organized Walk Down Wall Street, August 2026.
Course photographsThree Bloomberg for Education certificates, each with the certificate itself on its page.
Credential · Bloomberg for Education
Economic indicators, currencies, fixed income, equities, and Bloomberg Terminal literacy.
Credential · Bloomberg for Education
Core mechanics of financial markets and instruments, building on Bloomberg's market curriculum.
Credential · Bloomberg for Education
Environmental, social, and governance frameworks — how sustainability factors are measured, reported, and priced.
Athletics
Athletics and endurance
Basketball, coaching, mountain objectives, racing, and endurance travel sit alongside the professional record as personal context — not as substitutes for the evidence above.
Education · May 2025
Commencement photograph · Western Colorado University
BA Business Administration
Athletics · Summer 2025
Crossing the Pyrenees on the Route Napoléon.
Camino de Santiago
Athletics · Summer 2025
Arrival — Santiago de Compostela.
35 photographsEarly ventures and personal experiments provide additional context without blurring the boundary between professional work, research, and life outside the office.
Résumé
The one-page professional record.
Roles, education, credentials, and the PDF.
Open the résumé page