Put AI to Work
April 15-18, 2019
New York, NY
Cibele Halasz

Cibele Halasz
Machine Learning Engineer, Twitter

Cibele Montez Halasz is a machine learning engineer at Twitter Cortex, where she helps to build Twitter’s deep learning platform. Previously, Cibele was a data scientist and systems design engineer at Apple and a product applications engineer at Analog Devices, where she built machine learning algorithms that use smartphone sensors to understand a person’s behavior. Cibele holds an MS in electrical engineering with an emphasis on computer vision and machine learning from the California Institute of Technology and a BS in electrical engineering and physics from Stanford University.

Sessions

1:00pm1:40pm Wednesday, April 17, 2019
Case Studies, Machine Learning
Location: Sutton South
Secondary topics:  AI case studies, Media, Marketing, Advertising, Platforms and infrastructure, Text, Language, and Speech
Cibele Halasz (Twitter), Satanjeev Banerjee (Twitter)
Average rating: *****
(5.00, 1 rating)
Twitter is a company with massive amounts of data, so it's no wonder that the company applies machine learning in myriad of ways. Cibele Montez Halasz and Satanjeev Banerjee describe one of those use cases: timeline ranking. They share some of the optimizations that the team has made—from modeling to infrastructure—in order to have models that are both expressive and efficient. Read more.