Man

Andrés Jonathan Abeliuk Kimelman

Profesor Asistente

Universidad de Chile

Santiago, Chile

Líneas de Investigación


Human-centric machine learning; Computational Social Science; Analysis of Algorithms and Complexity theory; Social Networks; Game theory

Educación

  •  Computer Science, UNIVERSITY OF MELBOURNE. Australia, 2017
  •  Computer Science, UNIVERSITY OF MELBOURNE. Australia, 2014
  •  Ingeniero Civil en Computación, UNIVERSIDAD DE CHILE. Chile, 2011

Experiencia Académica

  •   Research Scientist Full Time

    UNIVERSITY OF SOUTHERN CALIFORNIA

    Los Angeles, Estados Unidos

    2018 - 2021

  •   Postdoctoral Associate Full Time

    MASSACHUSETTS INSTITUTE OF TECHNOLOGY

    Cambridge, Estados Unidos

    2016 - 2017

  •   Profesor Asistente Full Time

    UNIVERSIDAD DE CHILE

    Facultad de Ciencias Físicas y Matemáticas

    Santiago, Chile

    2021 - At present

Experiencia Profesional

  •   Software Engineer Full Time

    Foris

    Santiago, Chile

    2011 - 2013

Premios y Distinciones

  •   Jóvenes Líderes

    DIARIO EL MERCURIO

    Chile, 2021

    Jóvenes Líderes 2021, Revista Sábado, El Mercurio, 2021


 

Article (21)

Large Language Models in Crisis Informatics for Zero and Few-Shot Classification
Simulating conversations on social media with generative agent-based models
Price of Anarchy in Algorithmic Matching of Romantic Partners
Quickcent: a fast and frugal heuristic for harmonic centrality estimation on scale-free networks
Hybrid forecasting of geopolitical events<SUP>†</SUP>
Modularity of food-sharing networks minimises the risk for individual and group starvation in hunter-gatherer societies
Large-scale agent-based simulations of online social networks
Superintelligence Cannot be Contained: Lessons from Computability Theory
The Influence of Interdependence in Networked Publics Spheres: How Community-Level Interactions Affect the Evolution of Topics in Online Discourse
Discovering patterns of online popularity from time series
Friendship paradox biases perceptions in directed networks
Predictability limit of partially observed systems
Characterizing Activity on the Deep and Dark Web
Collaboration Drives Individual Productivity
A Computational Model of Commonsense Moral Decision Making
Taming the Unpredictability of Cultural Markets with Social Influence
Assortment optimization under a multinomial logit model with position bias and social influence
The Benefits of Social Influence in Optimized Cultural Markets
Iterated crowdsourcing dilemma game
Practical compressed suffix trees
Compressed Suffix Trees for Repetitive Texts

ConferencePaper (4)

Divide and Conquer: An Extreme Multi-Label Classification Approach for Coding Diseases and Procedures in Spanish
Auditing Algorithmic Bias on Twitter
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings
Asymptotic Optimality of Myopic Optimization in Trial-Offer Markets with Social Influence
25
Andrés Abeliuk

Profesor Asistente

Ciencias de la Computación

Universidad de Chile

Santiago, Chile