Nick Ung is a Staff Applied Scientist at Lyft, where he focuses on the fraud and safety space. His work involves building machine learning models to identify and prevent fraudulent activity, as well as addressing problems in the Identity, Payment, and Safety Space.

At Lyft, Nick is responsible for leading teams of data scientists and engineers to develop efficient and scalable ML systems.