Scholar
Daniel Kifer
Google Scholar ID: QdTErIEAAAAJ
Penn State University
Citations & Impact
Citations
10,094
H-index
45
i10-index
95
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published numerous papers covering areas such as differential privacy, machine learning, data analysis, and more. Some research works have won awards, such as the CCS 2018 Outstanding Paper Award.
Research Experience
- Currently a Professor in the Department of Computer Science & Engineering at Penn State. Teaching current course: CMPSC/DS 410: Programming Models for Big Data.
Background
- Research interests include statistical privacy (e.g., differential privacy) and its interactions with software security, statistical inference, and numerical optimization; deep learning algorithms and applications to the physical sciences; applications to social science data (e.g., Census data, Labor statistics data, etc.). Looking for PhD and Masters applicants who like both math and programming, for projects on statistical privacy.
Co-authors