Sarah Rodenbeck
Lead Research Data Scientist
Sarah is an AI professional specializing in natural language processing and large language
models for research and operational analytics with experience in both industry and academia. She has experience leading several large AI software
projects from inception to deployment as well as driving strategic organizational change to adopt AI
and data-driven practices.
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
- Project feature: Introducing AnvilGPT: Anvil’s powerful new LLM service for researchers
- Project feature: RCAC, College of Pharmacy partner on AI tool to identify adverse drug effects from social media posts
- Conference feature: Rosen Center for Advanced Computing staff to present at research computing conference
- Conference feature: Purdue to attend SC23 supercomputing conference, highlight “Purdue Computes” initiative
- Profiled for SC23 series on Women in HPC
- Bravo Award for Operational Excellence (2023, 2024)