- Home
- About
- People
- Equity
- Research
- Overview
- Faculty Spotlight
- Carving the path to safer and smarter buildings
- A holistic approach to intelligent social learning
- How to anticipate hiccups in health care
- Preserving a shared digital memory
- Holding information technologies accountable and addressing misinformation on the web
- More than an afterthought: Dr. Ibrahim shows students the necessity of cybersecurity
- Active Research
- Labs, Centers, and Institutes
- Visiting Scholars
- Undergraduate Research Scholars
- Academics
- Admissions
- Student Resources
- News
- Events
Joseph Yurko
- Director, Undergraduate Data Science Education
- Teaching Assistant Professor
Dr. Yurko joined the School of Computing and Information (SCI) in 2019, and is currently teaching machine learning and data science related courses. Before joining SCI, he was a data scientist in the manufacturing industry, and prior to that a consultant in the nuclear industry. Dr. Yurko has extensive experience building advanced predictive models to solve challenging problems across engineering disciplines. Those models have been used to optimize performance and interpret system behavior within the presence of uncertainty. Dr. Yurko’s industrial experience expanded upon his PhD thesis which used computational Bayesian inference algorithms to quantify the uncertainty in nuclear system simulations. He received his PhD from MIT in Nuclear Science and Engineering in 2014.