Scholar
Jingchen (Monika) Hu
Google Scholar ID: jVniGIUAAAAJ
Vassar College
Citations & Impact
Citations
481
H-index
14
i10-index
18
Publications
20
Co-authors
17
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Organized an invited session on “Recent Developments in Statistical Data Privacy Techniques and Applications” at the 2025 ICSA Applied Statistics Symposium; selected for the 2024/25 Distinguished Alumni Award from College of Science, City University of Hong Kong; will present work at the Statistical Society of Canada Annual Meeting 2024, International Society for Bayesian Analysis 2024 (ISBA 2024) World Meeting, and Joint Statistical Meetings 2024.
Research Experience
- Selected as the ASA/NSF/BLS Fellow at the Bureau of Labor Statistics (2018-2019), a faculty fellow of Data Analysis and Statistics Research Opportunities with NSF, National Center for Science and Engineering Statistics (NCSES) (June to December 2020 and June to August 2021), and a fellow at OpenDP (summer 2021). Currently a non-resident fellow at Urban Institute.
Education
- Ph.D. in Statistical Science from Duke University in 2015 (advisor: Jerry Reiter); BSc in Computing Mathematics from the Department of Mathematics, City University of Hong Kong in 2011.
Background
- Statistician and Associate Professor in the Department of Mathematics and Statistics at Vassar College. Research interests include Bayesian education, statistical data privacy, online/blended education, etc.
Miscellany
- Provides statistical consulting services, mainly on data privacy and confidentiality. Enjoys leisure reading and recommends books. Interested in music and cats.
