She’s excited to build tools that empower users to solve critical problems. Her background is in the life sciences, and during the course of her career she’s always worked to develop models and dashboards to help scientists and end users answer business critical questions using data and predictive models. As a product manager at Neo4j, she sees her role as democratizing state of the art academic research so it can be leveraged by end users in a scaleable, easy to understand way.
5 mins read
Last week, we officially released the 1.3 version of our Graph Data Science (GDS) library. I can’t believe 1.0 was only a few months ago, or how many new features and functionalities we’ve added into the last three releases! The GDS library now leverages Neo4j 4.0.1 and 4.1, and has... read more
7 mins read
At Neo4j, we’ve always been user-driven, and we know that many of you are dealing with increasingly complex questions and uncertain situations. One of our biggest user communities are developers and data scientists working for businesses that use advanced analytics and data science to... read more