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Research

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Table of Contents

Scientific knowledge is built on the foundations of probabilistic thinking, aiming to understand not only the associations between events but also how one event influences the occurrence of another. Uncertainty plays a central role in this endeavor, allowing us to capture inherent variations in the world and describe the variability in the models we use to represent reality. In ML/AI, our goal is to develop algorithms and processes that replicate human efforts in learning from data, inferring new relationships, predicting future outcomes, estimating causal relationships and effects, and making data-driven decisions.

My fundamental interest lies in understanding the principles of statistical learning, model building, and decision-making. Specifically, I focus on the role of uncertainty in enhancing the models and algorithms in machine learning and artificial intelligence. This involves integrating confidence measures into decisions and processes, leading to better engineering and design across various applications. I am passionate about applying ML/AI models to different scientific fields and creating a feedback loop between information, knowledge building, and model inference, mediated by increased insights and confidence in machine-generated knowledge.

Research Interests #

List of topics linked to publications

  • Probabilistic Machine Learning

    • Models
      • Matrix and Tensor Factorization
      • Point Processes
      • Deep Generative Models
    • Inference
      • Variational Inference
      • Amortized Inference
      • Energy-efficient Inference
    • Probabilistic Guarantees for
      • Trustworthy ML
      • Fairness
      • Ethics

  • Bayesian Statistics

    • Prior Predictive Analysis
    • Empirical Bayes
    • Probabilistic Programming

  • Causality

    • Causal Discovery

  • Physics-Informed Neural Networks

  • Applications

    • Personalization and Recommender Systems
    • Natural Language Processing
    • Information Retrieval
    • Complex Networks and Network Analysis
    • Ecosystem Simulations
    • Climate Models
    • Fluid Dynamics Simulations
    • Global Health

Collaborators #

List of People

  • adèle ribeiro

  • amauri h souza

  • antónio góis

  • arto klami

  • bjørnar vassøy

  • diego mesquita

  • dominik heider

  • eduardo valle

  • erlend aune

  • george teodoro

  • helge langseth

  • heri ramampiaro

  • luiz max carvalho

  • marcelo hartmann

  • massimiliano ruocco

  • rodrigo barreto alves

  • samuel kaski

  • thiago teixeira

  • tiago da silva

  • tomasz kuśmierczyk

  • vikas garg