Sarah Rodenbeck
Lead Research Data Scientist
Sarah is an AI professional specializing in natural language processing, AI-aided engineering and responsible AI, with experience in both industry and academia. Leveraging her technical background in computer science with years of professional experience in data science, she supports the full lifecycle of analytics projects from model and data pipeline development all the way through deployment. Sarah also brings expertise in AI ethics, governance, and privacy, and is passionate about human- and privacy-first data science designs. She is an advocate of data science and data literacy education and enjoys working with student projects and doing various "AI for Everyone" trainings.
Education
- B.S. in Computer Science, Purdue University
- M.S. in Data Science, Northwestern University
Certifications
- Nvidia Deep Learning Institute Certified Instructor - Fundamentals of Deep Learning
- ITIL Foundation Certificate in IT Service Management
- Applied Management Principles Program, Purdue Daniels School of Business
Recognition
- Recent project feature: RCAC, College of Pharmacy partner on AI tool to identify adverse drug effects from social media posts
- Profiled for SC23 series on Women in HPC
- Bravo Award for Operational Excellence (March 2023)