Anjo is a system security researcher with expertise in analyzing, designing, and building secure hardware and software systems, particularly for datacenter workloads. His work at Intel Labs has centered on advancing confidential computing, in-process isolation, and memory-safe architectures—critical areas for protecting sensitive data and enabling secure AI and cloud-native services.
Adjunct Lecturer, since July, 2022
TU Munich
Research Scientist, since April, 2019
Intel Labs
PhD in Computer Science, February, 2019
Max Planck Institute for Software Systems & Saarland University
B.Sc. in Applied Computer Science, September, 2009
Cooperative University State University Baden-Wuertemberg
[Dec 25] Accepted to serve on ACM Rep’26 PC
[Nov 25] Accepted to serve on EuroSys’27 PC
[Oct 25] Accepted to serve on ACM CCS’26 PC
[Sep 25] Recursive Attesation accepted at ApSys’25
[Jul 25] Lessons learned from 5 years of Artifact Evaluations at EuroSys presented at ACM REP’25
[Apr 25] Validation and Endorsement Services accepted at SysTEX’25
[Mar 25] Accepted to serve on EuroSys’26 PC
[Feb 25] Cloud-Scale Distributed Capabilities accepted at HCDS’25
Optimize local microservice executions using memory-safe languages and hardware optimizations
Building and evaluating reproducible and reusable research artifacts.
Enforcing security policies at the storage layer to reduce attack surface of existing solutions.
Providing in-process isolation for sensitive data and state to increase the security and robustness of applications and its use to provide efficient cloud deployments
Lift and shift unmodified applications into Intel SGX enclaves to shield them in an untrusted cloud.