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Pedro Bizarro

@pedrobizarro

Co-founder & Chief Science Officer @ Feedzai Data Processing, Data Visualization, ML, Responsible AI, Fraud Detection, AML, Science. Ironman, running Research: https://research.feedzai.com/ Youtube: http://bit.ly/3nnnb9T arXiv: http://bit.ly/3tCxDv2

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03.11.2023
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Latest posts by Pedro Bizarro @pedrobizarro

Revealing my age, I can say that I bought that CD and attended one of their concerts πŸ˜€

19.07.2025 17:32 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

HΓ‘ uma forma de descobrir... πŸ‘€

22.12.2024 13:08 πŸ‘ 2 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

This is great! A reading list of science books published in 2024!

28.11.2024 08:22 πŸ‘ 7 πŸ” 1 πŸ’¬ 0 πŸ“Œ 0
The Rise of Bluesky – Communications of the ACM

A short analysis of what might have contributed to the recent rise of BlueSky. Now, on the Blogs section at Communications of the ACM cacm.acm.org/blogcacm/the...

27.11.2024 18:42 πŸ‘ 20 πŸ” 6 πŸ’¬ 1 πŸ“Œ 1

It also happened to me once, but in that instance UberX had a much shorter waiting time than Uber Business.

Could that explain the price difference in your case as well?

28.11.2024 07:57 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

The paper was accepted at VIS'2024. Thank you, Beatriz, and thank also to all other co-authors, Rita Marques Costa, Jean Vieira Alves, Javier LiΓ©bana de la Barrera, and Diogo R Duarte.

27.11.2024 19:43 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

In the post Beatriz Feliciano shows how we are combining textual explanations from LLMs with charts to enhance the productivity of our users. This allows fraud analysts to not be overwhelmed with information, and allows them to quickly detect, understand, and explore what is wrong.

27.11.2024 19:43 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
Post image Post image

πŸ₯³ Yay: new blog post out, a summary of a recent Feedzai Research paper: β€œShow Me What’s Wrong!”: Enhancing Fraud Detection Analysis by Combining Charts and Text.

medium.com/feedzaitech/...

27.11.2024 19:43 πŸ‘ 4 πŸ” 1 πŸ’¬ 1 πŸ“Œ 0

Very insightful indeed! Thanks for sharing

15.11.2024 09:53 πŸ‘ 1 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

We publish in top conferences, release software in open-source (FairGBM, TimeSHAP, AutoVizuA11y, etc), collaborate with colleagues in other research areas (Systems, and Data Visualization) and in other departments (Product, Customer Success, etc), clients, and even external researchers.

21.12.2023 15:36 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0

We work in multiple areas such as representation learning, gene AI, algorithmic fairness, explainability, graphs, domain adaptation, adversarial robustness, and more.

Our work is used across the world to prevent variations of financial crime such as scams, transaction fraud, or money laundering.

21.12.2023 15:35 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

πŸŽ‰ If you just finished or are about to finish your MSc and are passionate about AI, we have a position for you at Feedzai Research! Actually, we have *two* positions, bring a friend! 😎

More of AI work here:
research.feedzai.com/research_are...

Job descriptions:
careers.feedzai.com/job_descript...

21.12.2023 15:30 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

Reach me for questions or more info!

20.11.2023 14:55 πŸ‘ 0 πŸ” 0 πŸ’¬ 0 πŸ“Œ 0
Preview
Feedzai Research blog Feedzai Research blog, articles, continuous innovation in data visualization, system research, engineering, data science and Artificial Intelligence.

The team works on highly available, high performance, distributed systems, using Spark, Kafka, EMR/Dataflow, Airflow, Flyte, Docker, Kubernetes, and more.

For past (public) work of this team, check some papers, videos, and patents: research.feedzai.com/research-blog/

20.11.2023 14:55 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

These are great opportunities: we are stopping the bad guys (who are doing money laundering and financial crime) while we develop state-of-the-art ML pipelines that have a global reach. (Did I say that our software is used to protect 900 million people in 192 countries?) πŸ˜‡

20.11.2023 14:54 πŸ‘ 1 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0

We are looking for people that combine technical knowledge and research skills, and are passionate about building cloud native applications that scale to process many thousands of events per second while providing low-latency and fault-tolerance guarantees.

20.11.2023 14:53 πŸ‘ 0 πŸ” 0 πŸ’¬ 1 πŸ“Œ 0
Systems Research: The Systems Research group focuses mostly on the performance and reliability of engineering systems. It focuses on projects that enable new software capabilities important for a RiskOps Platform, and improve systems characteristics such as memory, storage, computation, latency, throughput, availability, cloud cost, reliability and stability, etc.

Research Focus: Streaming Engines, Graph-based storages, ML infrastructure, Distributed processing

Systems Research: The Systems Research group focuses mostly on the performance and reliability of engineering systems. It focuses on projects that enable new software capabilities important for a RiskOps Platform, and improve systems characteristics such as memory, storage, computation, latency, throughput, availability, cloud cost, reliability and stability, etc. Research Focus: Streaming Engines, Graph-based storages, ML infrastructure, Distributed processing

We are hiring 2 people for our Systems Research - ML Infrastructure team. πŸŽ‰πŸ˜Ž

Software Engineer, Data and ML Infrastructure
careers.feedzai.com/job_descript...

Senior Software Engineer, Data and ML Infrastructure careers.feedzai.com/job_descript...

20.11.2023 14:53 πŸ‘ 8 πŸ” 3 πŸ’¬ 1 πŸ“Œ 0