Abhradeep Guha Thakurta's research is at the intersection of machine learning and data privacy. Abhradeep's primary research interest is in designing privacy-preserving machine learning algorithms with strong analytical guarantees, which are robust to errors in the data. In many instances, he harnesses the privacy property of the algorithms to obtain robustness and utility guarantees. His combination of academic and industrial experience has allowed him to draw non-obvious insights at the intersection of theoretical analysis and practical deployment of privacy-preserving machine learning algorithms.
- Data Privacy: Foundations and Applications, Spring 2019. Visiting Scientist.