His recent research interests include algorithms and learning on graphs and complex networks (e.g., financial networks, social networks, brain networks), fair and explainable AI, and more in general, privacy and all ethical aspects of data analysis and AI. He has more than 200 publications in these areas. He also filed 16 US patents, and got granted 9 US patents.

He is member of the Steering Committee of ECML PKDD and IEEE DSAA, and is in the editorial board of several journals in the Data Science area. Dr. Bonchi has been the General Co-Chair of the 5th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2018). He has been twice PC Co-Chair of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2010 and 2018), the 16th IEEE International Conference on Data Mining (ICDM 2016), the 28th ACM Conference on Hypertext and Hypermedia (HT 2017), the "Social Network Analysis and Graph algorithms for the Web" track @ The International World Wide Web Conference (WWW 2018), and the 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2019). Dr. Bonchi has also served as program co-chair of the first and second ACM SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD 2007 and 2008), the 1st IEEE International Workshop on Privacy Aspects of Data Mining (PADM 2006), and the 4th International Workshop on Knowledge Discovery in Inductive Databases (KDID 2005). He is co-editor of the book "Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques" published by Chapman & Hall/CRC Press.