Alden is a Data Engineer at Enigma Technologies in New York City, where he builds and implements software that enhances the liquidity of private and public data. He holds an M.S. in Computational Analysis and Public Policy from the University of Chicago, a joint Computer Science and Policy degree housed in the Harris School. His work bridges the gap between technology and traditionally non-tech sectors like public policy through data enablement and machine learning.
Previous work has included a project with after school programs in Chicago on ensuring student data privacy through a private blockchain; assessing the use of NLP methods for detecting fake news articles; an early-intervention system for Johnson County, KS criminal justice system with Data Science for Social Good; and early stage data ethics and modeling work for a crime analytics startup.
At Enigma, he maintains Python software for the ingestion of data at scale built on Airflow (which is sadly not publicly linkable).
To get in touch, please use the connect link below. You can find additional work on his github and some of his writing (both code-related and not) on medium.