Tamalika Mukherjee

About Me

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I will be joining the Max Planck Institute for Security and Privacy as a Research Group Leader in Fall 2025.
I expect to recruit a small number of motivated interns and PhD students, and may have opportunities for postdocs as well. If you are interested in working with me, please don’t hesitate to get in touch.

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.

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 (as is the norm in CS theory).

Pre-prints and Manuscripts

Journal Publications

Conference Publications

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.