Catuscia Palamidessi is Director of Research at Inria Saclay (since 2002), where she leads the team COMETE. 
She has been Full Professor  at the University of Genova, Italy (1994-1997) and at Penn State University, USA (1998-2002). 
Palamidessi's research interests include Privacy, Machine Learning,  Fairness, Secure Information Flow,  Formal Methods, and Concurrency. 
Her past achievements include the proof of expressiveness gaps between various concurrent calculi, and the development of a probabilistic version of the asynchronous pi-calculus. 
More recently, she has contributed to establish the foundations of probabilistic secure information flow, she has proposed an extension of differential privacy, and geo-indistinguishability, an approach to location privacy. 
In 2019 she has obtained an ERC advanced grant to conduct research on Privacy and Machine Learning. 
In 2022, she received the Grand Prix of the French Academy of Science. 
She is coauthor of more than 250 scientific publications, and she has been PC chair of various conferences including Logics in Computer Science, and PC member of more than 130 international conferences.  
She is in the Editorial Board of several journals, including the IEEE Transactions in Dependable and Secure Computing, the ACM Transactions on Privacy and Security,  the Journal of Computer Security, Mathematical Structures in Computer Science, and Acta Informatica. 
She is chair of the Executive Committee of  ACM SIGLOG (Special Interest Group on Logic and Computation), and member of the Executive Committees of CONCUR, and CSL (Computer Science Logic). 
She is has been member of the scientific advising committee of the ANSII (the French National Cybersecurity Agency),  and member of the advisory boards of CISPA (the Helmholtz Center for Information Security) and IMDEA (the Madrid Institute for Advanced Studies in Software Development Technologies). In 2021, she has been member of the CORE committee for the classification of conferences in the areas of security and privacy.