Dr Edwin Bonilla Pabon
Science Leader for Foundational Machine Learning
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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
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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
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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
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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
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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)
Professional Areas
Related links
Publications
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Published data & software
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