My career trajectory.


Name Edwin V. Bonilla
Label Machine Learning Research Scientist
Summary Machine learning scientist driven by challenging problems in probabilistic modelling, causal discovery and inference, and the optimal design of experiments.


  • 2023.07 - Present
    Senior Principal Research Scientist and Science Leader
    CSIRO's Data61
    Lead a team of 8–10 researchers in developing new methods for foundational machine learning.
    • New algorithms for causal discovery
  • 2018.08 - 2023.06
    Principal Research Scientist
    CSIRO's Data61
    Led research on Bayesian inference, deep learning and decision making.
    • New algorithms for network graph analytics and optimal design of experiments
  • 2014.11 - 2018.08
    Senior Lecturer
    Research on scalable probabilistic inference.
    • Developed scalable inference methods for Gaussian process models with state-of-the-art performance
  • 2010.01 - 2014.10
    Researcher/Senior Researcher
    Research on non-parametric Bayesian methods.
    • Data fusion methods for the characterisation of geothermal energy targets
  • 2007.11 - 2009.12
    Research Associate
    The University of Edinburgh
    Research on compiler optimization with machine learning
    • Delivered a machine learning model for the world’s first open-source machine-learning compiler
  • 2003.06 - 2003.09
    Software Engineer
    Casa Editorial El Tiempo
    Software development and support across all businesses
    • Developed software applications for managing the cash flow of the company
  • 2001.10 - 2003.02
    Software Developer
    Inpesa Ltd, Ecopetrol ICP
    Machine learning techniques for the characterisation of oil fields
    • Development and integration of the tool Oil Field Intelligence (OFI)


  • 2004.10 - 2008.12

    Edinburgh, UK

    The University of Edinburgh
    Compilers that learn to optimise: A Machine learning approach
  • 2003.10 - 2004.09

    Edinburgh, UK

    MSc with Distinction
    The University of Edinburgh
    Predicting good compiler transformations using machine learning
  • 1996.01 - 2001.01

    Bucaramanga, Colombia

    B.Sc., Computer Science, Summa Cum Laude
    Universidad Industrial de Santander


  • 2023
    Best Student Research Paper Award
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
    Feature-based Learning for Diverse and Privacy-Preserving Counterfactual Explanations
  • 2019
    Outstanding Contribution
    NeurIPS' Graph Representational Learning Workshop
    Variational Graph Convolutional Networks
  • 2019
    Test-of-time paper award
    International Symposium on Code Generation and Optimization (CGO)
    Automatic Feature Generation for Machine Learning Based Optimizing Compilation
  • 2017
    Test-of-time paper award
    International Symposium on Code Generation and Optimization (CGO)
    Rapidly Selecting Good Compiler Optimizations using Performance Counters