CV

Work experience

2022 – Current, Senior Lecturer (Assistant Professor) in Artificial Intelligence at Victoria University of Wellington, Wellington, New Zealand
2019 – 2022, Senior Research Fellow, Hamilton, New Zealand
2017 – 2019, Postdoctoral Researcher at Télécom ParisTech, Paris, France
2016 – 2016, PhD internship at Télécom ParisTech, Paris, France.
2015 – 2015, Student mentor at Pontifícia Universidade Católica do Paraná, Curitiba, Brazil
2013 – 2019, Independent machine learning consultant, remote
2012 - 2014, Computer Science Assistant Professor (Lecturer) at UTP University, Curitiba, Brazil
2009 – 2012 SAP Security Analyst at ExxonMobil, Curitiba, Brazil
2008 – 2009, Developer & System analyst at AM&RM, Curitiba, Brazil

Ph.D. degree in Computer Science, Graduate Program in Informatics (PPGIa), Pontifícia Universidade Católica do Paraná, Brazil, 2013-2017.
M.Sc. degree in Computer Science, Graduate Program in Informatics (PPGIa), Pontifícia Universidade Católica do Paraná, Brazil, 2011-2012.
B.Sc. degree in Computer Science, UTP, Brazil, 2007-2010.

2025-2029, Tūwhana SCC-Fort, MBIE Research Programme, $7,500,000 NZD (Work stream leader)
2025-2027, Transformers Applied to Multimodal Detection of Malicious Code with Few Examples, CNPq/MCTI/FNDCT Nº 22/2024, $118,000 NZD (Key researcher)
2025-2027, Advanced Mitigation of DDoS Attacks: Integration of Machine Learning for Data Streams and Programmable Network Devices, CNPq/MCTI/FNDCT Nº 22/2024, $135,000 NZD (Key researcher)
2022-2027, Time-Evolving Data Science/Artificial Intelligence for Advanced Open Environmental Science (TAIAO), MBIE SSIF Fund on Data Science. $13,000,000 NZD. (Work stream leader)
2023-2026, Exploring Disagreement-Based Learning for partially labelled data stream classification, 22-UOW-066, Marsden Fund (Fast-Start), $360,000 NZD (Sole PI)
2023-2024, Tackling energy demand forecast drifts, VUW University Faculty Research Establishment Grant Application, $27,640 NZD (Sole PI)
2023-2024, Time Series Analysis with Ordinal Patterns: Transformative Theoretical Advances and New Applications, VUW Faculty Strategic Research Grant, $47,613 NZD. (Co-PI)
2020-2021, University of Waikato Strategic research fund ($29,000 NZD) (Sole PI)

Chair. AAAI Bridge program. Streaming Continual Learning, 2026
Editor. International Journal of Data Science and Analytics, 2024-current.
Editorial board. Machine Learning journal - Springer, 2022-ongoing.
Publicity chair. PRICAI 2025, Wellington, New Zealand.
Nectar track chair. ECML PKDD 2024. Vilnius, Lithuania.
AusDM’22 Research PC Chair, Sidney, Australia, 2022.
IEEE International Conference on Data Mining (ICDM) 2021. Online Experience/Virtual Chair. Auckland, New Zealand. Website
Track co-chair. ACM Symposium on Applied Computing Data Streams Track. In conjunction with ACM Symposium on Applied Computing. 2021, 2022, 2023, 2024, 2025, 2026.
Second International Workshop on Energy Efficient Scalable Data Mining and Machine Learning. Co-located with ECML PKDD 2019. Würzburg, Germany. Website.

Added to the Honor Roll of Outstanding Reviewers PAKDD 2020. Website
PhD Grants. From September 2014 until March 2017 I was recipient of a scholarship from CAPES (Coordenação de Aperfeiçoamento de Pessoal de Nível Superior) and from Fundação Araucária.
Best Paper Award Information Systems (ACM SAC 2014). Best paper award for the paper entitled SAE2: Advances on the Social Adaptive Ensemble Classifier for Data Streams.

Since 2017 I contribute or have contributed as PC member/Senior PC member for the following conferences and journals:

ACM SIGKDD, AAAI, IJCAI, ECML-PKDD, IEEE ICDM, ESANN, ECAI, ACM SAC (data streams track), …
Machine Learning (Springer), Data Mining and Knowledge Discovery (DAMI), IEEE TKDE, Journal of Machine Learning (JMLR), Knowledge and Information Systems (KAIS), Information Fusion, IEEE Transactions on Big Data, …

2025 Examiner for Marco Heyden, Karlsruher Institut für Tehchnologie (KIT). Thesis title: Efficient Decision-Making in Data Streams under Limited Feedback.
2025 Examiner for Jingrui Zhang, University of Auckland. Thesis title: Explainable Anomaly Detection with Few Labeled Data.
2024 Examiner for Christian Raymond, Victoria University of Wellington. Thesis title: Meta-Learning Loss Functions for Deep Neural Networks.
2023 Examiner for Katharina Dost, University of Auckland. Thesis title: Selection Bias Identification and Mitigation With No Ground Truth Information.
2022 Examiner for Ocean Wu, University of Auckland. Thesis title: Learning and Adapting Continuously for Data Streams