Tamalika Mukherjee
Tamalika Mukherjee is a Research Group Leader at MPI-SP, leading the Privacy and AI Lab (PrivAIL). Her research focuses on data privacy, with foundations in theoretical computer science and applications to societal challenges. She designs differentially private algorithms for streaming and graph-structured data, and examines privacy implications in AI systems and machine learning applications. She also conducts interdisciplinary research on social, legal, and policy aspects of privacy technologies. Previously, she was a Postdoctoral Research Scientist at Columbia University and holds a Ph.D. in Computer Science from Purdue University, where she was awarded the Bilsland Dissertation Fellowship. During her doctoral studies, she was a Student Researcher at Google Research and a Research Intern at Analog Devices.