I'm a Postdoctoral Researcher at Bar Ilan University, Israel, under the supervision of Yehuda Lindell. Before joining Bar Ilan, I was a graduate student at the Computer Science Department of Aarhus University under the supervision of Ivan Damgård and Jesper Buus Nielsen (2013-2016).
From June 2016 until August 2016 I visited NTT Research Labs in Tokyo.
From June 2015 until December 2015 I visited the Crypto group at Bristol University.
From March 2014 until July 2014 I visited Alon Rosen at IDC Herzliya.
I obtained my Diploma in Computer Science at the University of Potsdam in 2013. During my studies in Potsdam I also went to ETH Zurich for a student exchange and did an internship at Ivan's group here in Aarhus. Furthermore, I worked as a teaching assistant at the University of Potsdam and as a software engineer for Holidaycheck, Hasso Plattner Institute and Giata mbH.
My main focus is on the application of homomorphic cryptosystems in the context of secure function evaluation: Secure two-party and multiparty computation can benefit a lot from the use of cryptographic primitives, mainly to precompute data that speeds up the actual computations.
I am also interested a into (fully) homomorphic encryption schemes (especially those based on lattices), and how to make those schemes more practical, as well as applications of machine learning to cyber security.
I've been a Program Committee member of ACNS 2017, CCS 2019 Workshop on Privacy-Preserving Machine Learning, CCS 2019 Workshop on Encrypted Computing & Applied Homomorphic Cryptography
Moreover, I have been a subreviewer for Inscrypt 2013; ESORICS 2013; Asiacrypt 2014, 2017, 2018, 2019; Eurocrypt 2015, 2017, 2018, 2019; TCC 2016, 2017, 2018; Journal of Cryptology 2016; Journal of Distributed Computing 2017; CANS 2017; CCS 2017, 2018, 2019; CRYPTO 2017, 2018, 2019; ICITS 2017; PKC 2017, 2018, 2019; CT-RSA 2018, 2019; IEEE Blockchain 2018; SCN 2018; Journal of Designs, Codes and Cryptography 2018; IEEE Transactions on Information Forensics & Security 2018, 2019; Financial Crypto 2019; S&P 2019