Kamalika Chaudhuri

Kamalika Chaudhuri is a faculty member in the Department of Computer Science at the University of California, San Diego. Her research interests include machine learning and data science. She can be contacted via email at kamalika@cs.ucsd.edu. For more information, visit her profile page at https://cse.ucsd.edu/people/faculty-profiles/kamalika-chaudhuri.

Kamalika Chaudhuri is a researcher focused on Trustworthy AI, with a particular emphasis on privacy-preserving machine learning. Her work explores differentially private algorithms, including empirical risk minimization and stochastic gradient descent with private updates. She also investigates methods for data deletion, privacy mechanisms for correlated data, and the robustness of machine learning models. Her research spans both theoretical and applied aspects of AI, including vision-language modeling, cluster tree estimation, and privacy-preserving analytics. Chaudhuri's contributions address the balance between model accuracy and data privacy, with applications in scalable analytics and secure machine learning systems.