AI · Computational Social Science · Decision Intelligence Research Professor · UDD, Chile

Adolfo Ignacio Fuentes Jofré, Ph.D.

Understanding the hidden structure behind human decisions.

Exploring human behavior through data and artificial intelligence — from computational research to real-world decision systems.

Evolving preference landscapeDispersed observations
Evolving preference landscape.

The underlying idea

Decisions are data.
Patterns become structure.

Individual choices may appear noisy or disconnected. At scale, they can reveal underlying patterns of preferences, similarities, behaviors and collective dynamics.

Conceptual sequenceFrom signal to structure
Multiple signals travel through distinct learned routes and resolve into separate outputs.

Two lenses, one question

How can better representations
lead to better decisions?

Field 01

Research

  • Computational Social Science
  • Human–AI Decision-Making
  • Representation Learning
  • Complex Systems
  • Collective Behavior
Research practice

The intersectionDecision
Intelligence

Field 02

Applied AI

  • Advanced Analytics
  • Customer Intelligence
  • Personalization
  • Machine Learning
  • Experimentation & AI Strategy
Industry practice

Selected work

A wider research
and practice agenda.

01
Latent representation

The Geometry of Human Preferences

Research on latent structures derived from observed decisions, collective preferences and behavioral data.

Conceptual density field: dispersed observations form asymmetric preference geometry.LATENT DENSITYCONCEPTUAL / 01DISPERSED CHOICESEMERGING FORM →
02
Comparative decisions

Human–AI Decision Making

Research exploring the relationship between human preferences and decisions generated by artificial intelligence systems.

Conceptual comparison: human and AI decisions compress into related but non-identical representations.CONCEPTUAL COMPRESSIONHUMAN ≠ AI / 02HUMAN CHOICESSHARED LATENT SPACEAI DECISIONS
03
Organizational application

Intelligent Decision Systems

Applied AI, customer intelligence, experimentation, prediction and personalized decision-making in real-world organizations.

Conceptual decision pipeline: signals move through representation, testing, and an actionable decision.DECISION PIPELINE / CONCEPTUALSIGNAL → ACTION / 0301SIGNALS02REPRESENT03TEST04DECIDEINPUTDECISION
04
Complexity at scale

Complexity & Economic Networks

Computational approaches to investigating complex economic phenomena through network science and machine learning.

Conceptual economic network: weighted directional flows connect heterogeneous actors.ECONOMIC NETWORKWEIGHTED FLOWS / 04ACTORDIRECTIONAL FLOWRELATIVE CONNECTIVITY

Recent academic activity

Ideas in
conversation.

Research gains meaning through exchange—across disciplines, institutions and communities.

View all talks & academic activities
Adolfo Ignacio Fuentes Jofré receiving his Master in Data Science diploma at Universidad del Desarrollo
Master in Data Science graduation · UDD 2024

About Adolfo

Researcher by training.
Builder by practice.

Adolfo Ignacio Fuentes Jofré is a Research Professor at the Faculty of Engineering and Institute of Data Science at Universidad del Desarrollo. His work connects computational approaches to human behavior with experience leading AI and advanced analytics in large organizations.

The common thread is a practical intellectual question: how can we represent complex decisions well enough to understand them—and build better systems around them?

Read the biography