Tamalika Mukherjee

About Me

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I am a Research Group Leader at the Max Planck Institute for Security and Privacy.

My research centers on data privacy, examining its intersection with theoretical computer science and its broader societal implications. My research interests span multiple areas, including:

  • Differentially Private Algorithm Design. I develop privacy-preserving algorithms in streaming and graph settings. My recent work focuses on resource-constrained environments where time or space limitations drive the development of sublinear algorithms.
  • Interdisciplinary Privacy Research. I examine how privacy-preserving mechanisms interact with social science, law, and policy. My recent work explores how communication strategies can prevent privacy protections from inadvertently harming marginalized communities.

Contact: I am always happy to chat about my research. Feel free to contact me at my first name period last name followed by "mpi-sp.org".

Previously, I was a Postdoctoral Research Scientist at Columbia University with Rachel Cummings. I completed my Ph.D. in Computer Science at Purdue University with Elena Grigorescu and Jeremiah Blocki. During my Ph.D. I was a Student Researcher at Google Research and a Research Intern at Analog Devices.

News

Papers

Authors are listed in alphabetical order, unless specified by * as first author(s).

Pre-prints and Manuscripts

Policy Writing

Publications

2026
2025
2024
2023
2022
2021
2020
2019

Awards

Service

Program Committee

Conference Reviews

Academic Organization

During my postdoc, I co-organized NYC Privacy Day, Fall 2023.

As a graduate student, I organized the Purdue CS Theory Reading Group (2021-2022) and served as President (2019-2020) and Faculty Search Chair (2018) of Purdue Computer Science Graduate Student Association.