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. Recently, his role changed to focus on the security of novel network stacks for AI. He support artifact evaluation and reproducibility efforts in the security and systems community.
Adjunct Lecturer, since July, 2022
TU Munich
Research Scientist, since April, 2019
Intel Labs, now Intel CTO Office
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
[Jun 27] ReproDB accepted at ACM Rep’26
[Mar 26] Rebound accepted to S&P’26
[Feb 26] Accepted to serve on uASC’27 PC
[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
Securing AI systems end-to-end — from protecting model confidentiality and integrity to defending compound AI pipelines against adversarial threats using trusted execution environments and systems security techniques.
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.
ACM CCS: 2026
Usenix Security: 2021, 2022, 2023, 2024 & Research Ethics Committee Member, 2025
ACM Conference on Reproducibility and Replicability: 2023, 2024, 2025, 2026
uASC: 2027
Workshop on System Software for Trusted Execution (SysTEX): 2026
Workshop on Metascience and Critical Reflections in Security & Privacy: 2026
Workshop on Kernel Isolation, Safety and Verification (KISV): 2025
Middleware Doctoral Workshop: 2020
Intel Software Professionals Conference - Security Track: 2020
EuroSys ShadowPC: 2020
SOCC Posters: 2020