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Dr Edwin Bonilla Pabon

Science Leader for Foundational Machine Learning

https://people.csiro.au/B/E/edwin-bonilla

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Biography

Edwin Bonilla is a senior principal research scientist and Science Leader for Foundational Machine Learning of the Analytics and Decision Sciences Research program at CSIRO’s Data61, Australia. He also holds an Honorary Associate Professor position at the Australian National University (ANU). Before joining CSIRO, Edwin was a Senior Lecturer at the University of New South Wales (UNSW, 2014-2018), a Senior Researcher at National ICT Australia (NICTA, 2010-2014) and a Research Associate at The University of Edinburgh (UK, 2007-2009).

He obtained a PhD in Informatics at the University of Edinburgh in 2008 and a MSc in Artificial Intelligence with Distinction at the University of Edinburgh (2004). Most of Edwin’s expertise is in probabilistic modelling and inference algorithms for the analysis of complex data, in areas such as scalable Bayesian inference, Gaussian processes and multi-task learning. He has worked in applications such as geophysical inversions, spatio-temporal modelling, computer vision and document analysis. His current interests include causal discovery and inference, Gaussian processes, Bayesian optimization, optimal design of experiments, neural differential equations and graph neural networks.

Edwin's research vision is that of making modern probabilistic machine learning a fundamental part of decision making. This vision is driven by challenging problems in causal discovery and inference and the optimal design of experiments, and underpinned by principled modelling, quantification and propagation of uncertainty. The output of his research is focused on top machine learning venues such as NeurIPS, ICML and AISTATS.

Academic Qualifications

  • 2008

    PhD in Informatics
    The University of Edinburgh (UK)

  • 2004

    MSc in Artificial Intelligence with Distinction
    The University of Edinburgh (UK)

  • 2001

    BSc in Computer Science, Summa Cum Laude
    Universidad Industrial de Santander (Colombia)

Achievements and Awards

  • 2023-2023

    Best Student Research Paper Award
    29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

  • 2019-2019

    Outstanding Contribution: Variational Graph Convolutional Networks
    NeurIPS Workshop on Graph Representation Learning

  • 2019-2019

    Test-of-time Paper Award
    International Symposium on Code Generation and Optimization

  • 2017-2017

    Test-of-time Paper Award
    International Symposium on Code Generation and Optimization

Current Roles

  • Senior Principal Research Scientist
    CSIRO's Data61

  • Science Leader
    Foundational Machine Learning

  • Project Co-lead
    Causal Inference in High Dimensional Multi-scale Systems (AI4M)

  • Associate Professor (Honorary)
    Australian National University

Professional Experiences

  • 2020-2022

    Group Leader
    Machine Learning Research Group (CSIRO's Data61)

  • 2020-2022

    Activity Leader
    MLAI FSP (CSIRO)

  • 2019-2021

    Team Leader
    Foundations and Methods (Machine Learning Research Group, CISRO's Data61)

  • 2018-2023

    Principal Research Scientist
    CSIRO's Data61

  • 2014-2018

    Senior Lecturer
    The University of New South Wales

  • 2010-2014

    Senior Researcher
    NICTA

  • 2010-2015

    Adjunct Research Fellow
    Australian National University

  • 2007-2009

    Research Associate
    The University of Edinburgh (UK)

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