Kirsty Weitzel is a member of RTI’s Center for Data Science who specializes in assessing risk and bias in machine learning models. Her current work centers on criminal justice. She is developing a chatbot to enhance law enforcement’s response to victims of burglary, and working on validation and improvements to the Pretrial Release Assessment tool, focusing on outcomes and racial bias. She is a skilled programmer with expertise in Python, R, and SQL.
Mrs. Weitzel joined RTI in 2020. Previously, she was a data scientist at Elder Research, developing data science solutions for clients in consumer packaged goods, quick-service dining, software, and logistics. She also worked on SBIR-funded projects for the Centers for Disease Control and Prevention and U.S. Department of Health and Human Services. She holds a graduate certificate in Applied Statistics & Data Management from North Carolina State University, along with several professional certifications, including AWS Technical Professional, SAS Certified Advanced Programmer for SAS 9 and SAS Certified Statistical Business Analyst Using SAS 9.
