Marcela M. Gómez.

Executive Director of Research Analytics · University of Pittsburgh

Making complex systems legible.

I sit at the meeting point of scholarship and applied analytics. My work takes systems that are hard to see clearly — the radio spectrum, a university's billion-dollar research portfolio — and renders them measurable, governable, and ready for a decision. Different subjects, one underlying craft.

See the work → Curriculum vitae
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SCHOLARSHIP·MODELING·MARKET DESIGN·GOVERNANCE·AI ANALYTICS

Who I am

Two disciplines that almost never share a résumé.

My doctorate is in Information Science, concentrated in Telecommunications. For more than ten years I've done two things at once: produced peer-reviewed work on spectrum markets and how emerging technologies get governed, and stood up — then run — the central research-analytics group at a top public research university. Neither has crowded out the other.

Thread 01 — The scholar

Spectrum, markets, and how shared resources get governed

Thirty-plus peer-reviewed papers on spectrum sharing, wireless network virtualization, and the institutional economics of controlling a scarce public good. Mine was the first work to carry matching-market and intermediary theory into the study of how spectrum gets shared.

Thread 02 — The builder

An analytics function for a billion-dollar research enterprise

I started Pitt Research Analytics and still run it — converting data about more than a billion dollars of yearly research into something leadership can use. I laid the data foundation myself before any AI went near it, and what the team produces reaches as high as the Board of Trustees.

Selected work

How do we make the invisible measurable?

All six lines of work →
Matching markets2017 – 2020

The middleman makes the market

Auctions get the attention, but they don't explain why some spectrum markets take off and others stall. Through agent-based modeling I showed the real unlock is trusted intermediaries — the brokers who pair buyers with sellers — and that they open the door to smaller and newer players.
1695–1710 MHz2017 – present

Can spectrum govern itself?

Spectrum is almost always governed from the top down. I brought a polycentric, self-governance lens to a field that assumed central control was the only option, and was among the first to model automated enforcement with agent-based methods — and to test blockchain and smart contracts as the tooling.
Applied · AI2023 – present

AI-enabled analytics for a research university

Conceived and built: a Snowflake research-data environment that finally let the university analyze itself across units, an AI matchmaker that helps researchers find collaborators, and a hub you can simply ask, in plain English, about more than a billion dollars of research activity.

Honors

Selected recognition.

2011–2012

Fulbright Scholarship — a competitive, government-funded international award that backed my master's in Telecommunications.

2016

O.S. Braunstein Best Student Paper Award — Pacific Telecommunications Council Conference.

2010

“Presea Honorato Vázquez” — Universidad del Azuay's highest academic distinction.

2025

University of Pittsburgh Emerging Leaders Program — a university-wide program I was nominated into by the SVCR office.

Get in touch

Let's talk research, analytics, or AI.

For collaborations, speaking, advising, or the full CV — I'm easy to reach.

mmg62@pitt.edu LinkedIn View CV