---
id: "entity-raul-castro-fernandez"
type: "entity"
entityType: "person"
canonicalName: "Raul Castro Fernandez"
aliases: ["Raúl Castro Fernández"]
source_timestamps: ["byline", "Readers Also Viewed These Items"]
tags: ["author", "computer-scientist", "speaker"]
related: ["entity-e-glen-weyl", "concept-data-mixture-weights", "concept-scaling-laws-valuation"]
speakers: ["Raul Castro Fernandez"]
sources: ["tail1"]
isSpeakerEntity: true
---
## Segment 1 — tail1

## Article 109 — a109

# Raul Castro Fernandez

## Profile

Assistant professor of computer science at the **University of Chicago** and **co-author** of the source article. His research focuses on **data ecology** — how data flows shape technological, economic, and social systems. He is a recipient of the **SIGMOD Test-of-Time Award** and an **NSF CAREER Award**.

## Role in this source

Provides the technical/computational layer of the argument: how [[concept-data-mixture-weights]] arise in training and how [[concept-scaling-laws-valuation|scaling laws]] can isolate data's aggregate value. Complements the economic layer supplied by co-author [[entity-e-glen-weyl|E. Glen Weyl]].

## Attributed contributions in this vault

- Technical grounding for [[claim-data-valuation-feasible]] and [[framework-cmo-compensation]]
- Co-authored quotes: [[quote-data-valuation-objection]], [[quote-investment-not-tax]], [[quote-equimarginal-principle]]