Eddie Lin is the Data Engineer for the Crime Lab and Education Lab. In this role, Eddie works on internal projects to improve the data infrastructures of the Lab, and he supports the analysts and data scientists in building the data pipeline, tools, and software.
Prior to coming to the Labs, Eddie was a data scientist at the Center for Data Science and Public Policy and a previous data science fellow for the Data Science For Social Good fellowship. He has worked in the intersectional area of data, machine learning, and social good. Eddie holds an MS in Electrical Engineering and a BS in Physics from National Taiwan University.
The Crime Lab is working to strengthen public safety datasets by developing Name Match – an open-source, customizable tool to link records from different datasets.