Scholar
Tamalika Mukherjee
Google Scholar ID: UsZvcygAAAAJ
Columbia University
Citations & Impact
Citations
115
H-index
7
i10-index
5
Publications
20
Co-authors
8
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Published multiple papers including 'Differentially Private Shortest Distances in the Continual Release Model', 'The Hidden Costs of Privacy Choice', 'Differentially Private Clustering in Data Streams', and presented at various international conferences.
Research Experience
- Will be joining the Max Planck Institute for Security and Privacy as a Research Group Leader in Fall 2025. During her Ph.D., she was a Student Researcher at Google Research and a Research Intern at Analog Devices.
Education
- Ph.D. in Computer Science from Purdue University, advised by Elena Grigorescu and Jeremiah Blocki; Postdoctoral Research Scientist at Columbia University, advised by Rachel Cummings.
Background
- Research interests include differentially private algorithm design and interdisciplinary privacy research, focusing on the intersection of data privacy with theoretical computer science and its broader societal implications.
Miscellany
- Personal interests not mentioned
