Doctoral Researcher · Quantum Cybersecurity & AI · Cyber Exposure & Vulnerability Lead

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I am a doctoral researcher in Computer Science at the University of Oulu, focusing on quantum cybersecurity and the use of AI/ML and agentic AI to detect and mitigate security threats.

Alongside my research, I work as a Cyber Exposure and Vulnerability Lead in Oulu, where I help improve visibility into internet-facing assets, identify critical exposures, and work with engineering teams to reduce risk in production environments.

My background combines:

• Security engineering and penetration testing
• Quantum computing and secure AI systems
• Cloud security across AWS, Azure, and GCP
• Threat intelligence, vulnerability management, and compliance

University of Oulu

• PhD research on quantum cybersecurity using AI/ML and agentic AI
• Completed master’s thesis:
  “Using artificial intelligence and machine learning to detect malicious quantum circuits”
• Focus areas: malicious quantum circuit detection, secure quantum software development, and LLM-based reasoning for secure quantum workflows

• Improve the NCSC Feed and exposure monitoring for internet-facing assets
• Map, track, and document vulnerabilities across products and services
• Use tools such as Nmap, Masscan, ProjectDiscovery, Shodan, Wireshark, Metasploit, and CVE/CWE analysis
• Work closely with product and engineering teams to prioritize remediation and improve secure-by-design practices
• Align work with security frameworks such as MITRE ATT&CK and common regulatory / compliance needs

• Quantum cybersecurity and secure quantum software
• AI-powered threat detection and security automation
• LLM and agentic AI security (prompt injection, data exfiltration, jailbreaks)
• Secure AI systems (adversarial ML, privacy-aware ML)
• Internet-wide exposure mapping and attack surface management
• Cloud security (Azure, AWS, GCP) and DevSecOps

Programming & Data

• Python, Bash, SQL
• Data analysis and visualization

AI, ML & LLMs

• Classical ML for security analytics
• LLM-based applications and agentic workflows
• Applied use of frameworks such as LangChain / similar LLM stacks

Quantum Computing

• Qiskit and quantum circuit experimentation
• Research on malicious quantum circuits and secure quantum protocols

Security Engineering & Offensive Security

• Network and web application penetration testing
• Threat modeling, risk analysis, and secure architecture review
• Tools: Nmap, Masscan, Shodan, Burp Suite, Metasploit, Nessus, Wireshark, ProjectDiscovery stack, OpenVAS, SIEM platforms

Cloud & DevSecOps

• AWS, Azure, GCP
• Docker, container security, CI/CD integration (e.g., GitHub Actions)

• Master’s Thesis (University of Oulu)
  Using artificial intelligence and machine learning to detect malicious quantum circuits
  Focus on combining quantum computing with ML-based detection of malicious behavior in quantum circuits.

• Ongoing PhD Research
  Quantum cybersecurity with AI/ML and agentic AI, including secure development practices and automated detection of misuse in quantum and AI systems.

I am open to:

• Research collaboration in quantum cybersecurity, secure AI, and threat detection
• Joint security projects and tooling (exposure management, LLM security, quantum-safe designs)
• Guest talks, seminars, and workshops on cybersecurity, AI, and quantum topics

You can reach me via email or LinkedIn.