Summary
Olga Scrivner is a multidisciplinary data scientist and academic leader with nine years of experience applying supervised and unsupervised ML, neural networks, visual analytics, and text mining to education, healthcare, and humanitarian contexts. She holds a dual PhD in Computational and French Linguistics from Indiana University and an MCS in Data Science from UIUC, blending deep linguistic expertise with practical data engineering and analytics. As founder of Scrivner Solutions Inc. and a professor at Rose-Hulman, she translates research on STEM learning analytics, immersive educational technologies, and skills-gap analysis into applied programs and AI adoption strategies. Active in professional service, she chairs the IEEE Humanitarian Technologies Committee and serves on boards that advance women leaders in higher education. Colleagues value her rare combination of language-focused research chops and hands-on deployment experience in ethically minded, impact-driven technology projects.
9 years of coding experience
14 years of employment as a software developer
MA Philology-Romanistic (Romance Languages), MA Philology-Romanistic (Romance Languages) at Saint Petersburg State University
Dual PhD Computational Linguistics and French Linguistics, Dual PhD Computational Linguistics and French Linguistics at Indiana University Bloomington
MCS Data Science, MCS Data Science at University of Illinois Urbana-Champaign
Catalan, German, Spanish, Russian, Greek, French