World's Best Scientists 2026 revealed!

Overview

Manuel Gomez-Rodriguez is affiliated with the Max Planck Institute for Software Systems in Germany. Their research primarily lies at the intersection of computer science and epidemiology, with a strong emphasis on artificial intelligence and its applications in disease modeling and data-driven surveillance.

The main fields of study encompassing their work include:

  • Computer Science

Within computer science, they focus on subfields such as:

  • Artificial Intelligence
  • Epidemiology
  • Statistics and Probability
  • Modeling and Simulation
  • Management Science and Operations Research

Their research topics cover diverse areas, notably:

  • COVID-19 epidemiological studies
  • Data-Driven Disease Surveillance
  • Machine Learning and Data Classification
  • COVID-19 Digital Contact Tracing
  • Machine Learning and Algorithms
  • Explainable Artificial Intelligence (XAI)
  • Advanced Causal Inference Techniques

Recent publications by Manuel Gomez-Rodriguez demonstrate their interdisciplinary approach and scholarly activity in significant venues:

  • "Artificial intelligence for modelling infectious disease epidemics," 2025, Nature
  • "Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection Hotspots," 2022, ACM Transactions on Spatial Algorithms and Systems
  • "Regression under Human Assistance," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Optimal Decision Making Under Strategic Behavior," 2024, Management Science
  • "Tracking progress towards malaria elimination in China: Individual-level estimates of transmission and its spatiotemporal variation using a diffusion network approach," 2020, PLoS Computational Biology

The scientist collaborates frequently with a network of co-authors, including:

  • Stratis Tsirtsis
  • Abir De
  • Eleni Straitouri
  • Bernhard Schölkopf
  • Lars Lorch

Manuel Gomez-Rodriguez has published extensively in venues such as:

  • arXiv (Cornell University), with 30 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • PLoS Computational Biology
  • Scientific Reports
  • Research Square (Research Square)

In addition to journal and conference papers, their book contributions include multiple works published by Springer Science+Business Media in 2023, all titled "Machine Learning and Knowledge Discovery in Databases: Research Track."

Best Publications

  • Inferring Networks of Diffusion and Influence

    Manuel Gomez-Rodriguez;Jure Leskovec;Andreas Krause

  • Recurrent Marked Temporal Point Processes: Embedding Event History to Vector

    Nan Du;Hanjun Dai;Rakshit Trivedi;Utkarsh Upadhyay

  • Structure and dynamics of information pathways in online media

    Manuel Gomez Rodriguez;Jure Leskovec;Bernhard Schölkopf

  • Scalable Influence Estimation in Continuous-Time Diffusion Networks

    Nan Du;Le Song;Manuel Gomez-Rodriguez;Hongyuan Zha

  • Influence Estimation and Maximization in Continuous-Time Diffusion Networks

    Manuel Gomez-Rodriguez;Le Song;Nan Du;Hongyuan Zha

  • Closing the sensorimotor loop: haptic feedback facilitates decoding of motor imagery

    M Gomez-Rodriguez;J Peters;J Hill;B Schölkopf

  • Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation

    Jooyeon Kim;Behzad Tabibian;Alice Oh;Bernhard Schölkopf

  • Fake News Detection in Social Networks via Crowd Signals

    Sebastian Tschiatschek;Adish Singla;Manuel Gomez Rodriguez;Arpit Merchant

  • COEVOLVE: a joint point process model for information diffusion and network co-evolution

    Mehrdad Farajtabar;Yichen Wang;Manuel Gomez-Rodriguez;Shuang Li

  • COEVOLVE: a joint point process model for information diffusion and network evolution

    Mehrdad Farajtabar;Yichen Wang;Manuel Gomez-Rodriguez;Shuang Li

  • Fairness Constraints: A Flexible Approach for Fair Classification

    Muhammad Bilal Zafar;Isabel Valera;Manuel Gomez-Rodriguez;Krishna P. Gummadi

  • Modeling Information Propagation with Survival Theory

    Manuel Gomez-Rodriguez;Manuel Gomez-Rodriguez;Jure Leskovec;Bernhard Schlkopf

  • Shaping Social Activity by Incentivizing Users

    Mehrdad Farajtabar;Nan Du;Manuel Gomez-Rodriguez;Isabel Valera

  • Enhancing human learning via spaced repetition optimization.

    Behzad Tabibian;Utkarsh Upadhyay;Abir De;Ali Zarezade

  • Uncovering the structure and temporal dynamics of information propagation

    M. Gomez Rodriguez;J. Leskovec;D. Balduzzi;B. Schölkopf

  • Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm

    Hadi Daneshmand;Manuel Gomez-Rodriguez;Le Song;Bernhard Schoelkopf

  • NEVAE: A Deep Generative Model for Molecular Graphs

    Bidisha Samanta;Abir De;Gourhari Jana;Vicenç Gómez

  • Towards brain-robot interfaces in stroke rehabilitation

    M. Gomez-Rodriguez;M. Grosse-Wentrup;J. Hill;A. Gharabaghi

  • Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades

    Mehrdad Farajtabar;Manuel Gomez-Rodriguez;Nan Du;Mohammad Zamani

  • COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution

    Mehrdad Farajtabar;Manuel Gomez-Rodriguez;Yichen Wang;Shuang Li

Frequent Co-Authors

Le Song
Le Song Mohamed bin Zayed University of Artificial Intelligence
Bernhard Schölkopf
Bernhard Schölkopf Max Planck Institute for Intelligent Systems
Hongyuan Zha
Hongyuan Zha Chinese University of Hong Kong, Shenzhen
Nan Du
Nan Du Tencent (China)
Niloy Ganguly
Niloy Ganguly Indian Institute of Technology Kharagpur
Krishna P. Gummadi
Krishna P. Gummadi Max Planck Institute for Software Systems
Alireza Gharabaghi
Alireza Gharabaghi University of Tübingen
Jan Peters
Jan Peters Technical University of Darmstadt
Jure Leskovec
Jure Leskovec Stanford University
Samir Bhatt
Samir Bhatt Imperial College London

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