Maxime Labonne

Биография:

 Maxime Labonne is a senior applied researcher at J.P. Morgan with a Ph.D. in machine learning and cyber security from the Polytechnic Institute of Paris.

 During his Ph.D., Maxime worked on developing machine learning algorithms for anomaly detection in computer networks. He then joined the AI Connectivity Lab at Airbus, where he applied his expertise in machine learning to improve the security and performance of computer networks. He then joined J.P. Morgan, where he develops techniques to solve a variety of challenging problems in finance and other domains.

 In addition to his research work, Maxime is passionate about sharing his knowledge and experience with others through Twitter (@maximelabonne) and his personal blog.

Книги:
  • Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorch (2023)