Junyuan Ke
Assistant Teaching Professor
Mendoza School of Business
University of Notre Dame
(404)-863-0695
Bio
I am an Assistant Teaching Professor at the Information Technology Analytics, & Operations (ITAO) department at the Mendoza College of Business of the University of Notre Dame. Go Irish!
My passion lies in teaching everything related to IT and analytics to future business leaders, from foundational coding and math to statistical learning and econometrics. I have taught at the Undergraduate, MS, MBA, and PhD levels, integrating theory with real-world applications to make course content both practical and engaging. I aimed to create inclusive classrooms where students feel encouraged to participate, and complex concepts are made relatable through real and current industry examples. I have designed courses for both online and in-person learning, catering to class sizes ranging from 3 to 200+ students.
My research interest intersects Data Mining and Causal Inference with an emphasis on making sense of unstructured data to solve meaningful business problems. I am especially interested consumers’ reactions to emerging technology shocks and how such reactions in turn affect businesses. Hence, I work on topics such as social media, healthcare analytics, and data privacy.
Education
I received my PhD in Computer Information Systems in 2024 from the Simon Business School of the University of Rochester. Before moving to Rochester, I was briefly a PhD student at UT Austin. Before that, I graduated from Emory University in 2018 with B.S. in Computer Science and B.A. in Economics & Mathematics.
Journal Publication
- Phenotype Instance Verification and Evaluation Tool (PIVET): A Scaled Phenotype Evidence Generation Framework Using Web-Based Medical Literature, with Jette Henderson, Joyce C. Ho, Joydeep Ghosh and Byron C. Wallace. Journal of Medical Internet Research, 2018.
Conference Presentations
- INFORMS Annual Meeting, 2024.
- Hawaii International Conference on System Sciences (HICSS), 2024.
- International Conference on Information Systems (ICIS), 2023.
- Conference on Information Systems and Technology (CIST), 2023.
- INFORMS Healthcare, 2023.
- INFORMS Annual Meeting, 2022.
- Conference on Information Systems and Technology (CIST), 2022.
- Conference on Health IT and Analytics (CHITA), 2022.
- Journal of Marketing Research – Special Issue on Mitigation in Marketing, 2021.
- ISMS Marketing Science Conference, 2021.
Miscellaneous
When I’m not in my office, I am try to be an avid boxer. I also enjoy hiking and camping in the Finger Lakes region.