Andrew has delivered workshops on data strategy, program evaluation and AI applications in social science. His expertise includes machine learning, multimodal AI pipelines and advanced statistical analysis. He has previously taught on topics including restorative justice program evaluation and data-driven decision making.

Andrew worked as a Senior Research Associate at the Vera Institute of Justice, where he led AI-driven data solutions and ETL pipeline development across cloud platforms. He has managed research teams and analytics projects for John Jay College of Criminal Justice and government agencies, with a focus on equity, diversion programs and public health.

Andrew holds a Master of Public Administration from the University of Washington and is a Pi Alpha Alpha Honors inductee. He has completed advanced training in AI and machine learning, including LangChain systems, LLMOps, and prompt engineering, alongside certifications in Principles of Machine Learning and AI strategies from UC Berkeley and Deeplearning.ai.