Professional Summary
I am a senior consultant and AI research scientist in the area of AI (Artificial Intelligence), with special expertise on reliable, efficient, and secure AI systems.
Reliability means that the AI is really doing what it should do. Efficiency means that the AI works with minimal resources (runtime, energy, memory). Security means that it is robust against manipulations and adversarial threats.
Prior to joining _fbeta, I worked as a postdoctoral researcher in the area of trustworthy AI at Ruhr University Bochum and at ICSI, an affiliated institute of the University of California (UC Berkeley). I got my PhD in Computer Science from TU Braunschweig, focusing on trustworthy AI as well as on the intersection of machine learning and computer security.
Key Knowledge and Skills:
- Data Analysis, Machine Learning, Artificial Intelligence
- AI processing of natural language, of digital media such as images, videos, or audio, and of program code
- AI model training from scratch, AI model finetuning
- Detection of AI-generated content and deepfakes
- Trustworthy AI (Reliability, Security, Bias, Misuse)
- Efficiency of AI
- AI for computer security, fraud detection, and privacy
Education
PhD Computer Science (with distinction)
Technische Universität Braunschweig, Germany
MSc in Computer Science (with distinction)
Universität Münster, Germany
BSc in Information Systems (Best graduate)
Universität Münster, Germany
Interests
- Best Paper Award at IEEE Deep Learning Security and Privacy Workshop (DLSP)
- Dissertation Award, AI Talent of Lower Saxony, Germany, 2022
- Distinguished Paper Award at USENIX Security Symposium 2022
- Winner of the defender challenge at the Machine Learning Security Evasion Competition by Microsoft, 2020
- Best Student Paper Award at IEEE International Workshop on Information Forensics and Security (WIFS), 2015
- Scholarship by German Academic Exchange Service (DAAD), 2015
- Deutschlandstipendium (Scholarship), sponsored by BASF SE, 2013-2015
- Winner of Special Award of Münster’s Society for Applied Informatics for the best empirical thesis, 2013
- Winner of Hays-AlumniUM-Bachelor-Award as the best BSc. student in graduating class, 2013
Membership in Program Committees / Conference Reviewing:
- 2019-2025 - IEEE Workshop on Deep Learning and Security (DLS)
- 2023-2025 - Workshop on Robust Malware Analysis (WoRMA)
- 2021-2024 - ACM Workshop on Artificial Intelligence and Security (AISec)
- 2023 - IEEE European Symposium on Security and Privacy (EuroS&P)
- 2022 - USENIX Security Artifact Evaluation Committee
- 2022 - European Symposium on Research in Computer Security (ESORICS) Program Committee
- 2021 - European Symposium on Research in Computer Security (ESORICS) Posters Program Committee
Journal Reviewing:
- IEEE Transactions on Information Forensics & Security (TIFS)
- IEEE Intelligent Systems
- Computer Science Review
Sub-Reviewing:
- IEEE Symposium on Security and Privacy (S&P)
- Network and Distributed System Security Symposium (NDSS)
- ACM Conference on Computer and Communications Security (CCS)
- USENIX Security Symposium
- Annual Computer Security Applications Conference (ACSAC)
- Symposium on Research in Attacks, Intrusions, and Defenses (RAID)
- IEEE European Symposium on Security and Privacy (EuroS&P)
- ACM Asia Conference on Computer and Communications Security (ASIA CCS)