Denis Foo Kune
Denis Foo Kune is a security researcher whose work spans network security, medical devices, and responsible AI for foundation models. He coauthored a 2012 paper on GSM location leaks, completed a PhD at Minnesota, and worked with Kevin Fu at the University of Michigan. At Virta Laboratories, he led a machine-learning project that analyzed power-consumption signals for malware and anomaly detection; by December 2017, he was a principal security engineer at Mayo Clinic. In December 2024, he coauthored Amazon's account of responsible-AI methods for Nova, and in March 2025 he coauthored a report on the model family. As of October 2026, he is a senior security researcher in Artificial General Intelligence and Responsible AI at Amazon.
Timeline
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2012
GSM location leaks
In 2012, he coauthors “Location Leaks on the GSM Air Interface” for the Network and Distributed System Security Symposium.
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2012–2014
Minnesota PhD and Michigan postdoc
He completes a PhD at the University of Minnesota in 2012, working with Nick Hopper and Yongdae Kim. At the University of Michigan, he is a postdoctoral researcher with Kevin Fu from 2012 to 2014. In 2013, he coauthors “Ghost Talk: Mitigating EMI Signal Injection Attacks against Analog Sensors.”
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2015–2016
Machine learning for device security
At Virta Laboratories, which he co-founds with Ben Ransford and Kevin Fu, he serves as principal investigator for its 2015 SBIR Phase I project on anomaly and malware detection. The project analyzes power-consumption side channels with a cloud machine-learning engine to monitor high-assurance devices.
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December 2017
Security at Mayo Clinic
In December 2017, he is a principal security engineer at Mayo Clinic and is scheduled to present at the Archimedes Medical Device Security 101 Conference in January 2018.
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December 2024
Responsible AI in Amazon Nova
In December 2024, he coauthors Amazon’s account of responsible-AI methods for the Nova model family, including reinforcement learning, supervised fine-tuning, guardrail models, and image watermarking.
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March 2025
The Amazon Nova technical report
In March 2025, he coauthors “The Amazon Nova Family of Models: Technical Report and Model Card,” which introduces the Nova foundation-model family and reports benchmarks and human-evaluation results.
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As of October 2026
Security research in Amazon AGI
As of October 2026, he is a senior security researcher in Artificial General Intelligence and Responsible AI at Amazon.
Career
- NowAmazonSenior security researcher
- From 2017Mayo ClinicPrincipal security engineer
- 2015–2016Virta LaboratoriesCo-founder, Principal investigator
- 2012–2014University of MichiganPostdoctoral researcher
Education
- 2012University of MinnesotaPhD
Most-cited works
Sources and credits
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- Denis Foo Kune
- Nick Hopper - Advising
- Kevin Fu
- Ghost Talk: Mitigating EMI Signal Injection Attacks against Analog Sensors
- SBIR Phase I: Anomaly and malware detection using side channel analysis
- Mayo Clinic’s Kevin McDonald on Improving Security in Healthcare
- Amazon Nova and our commitment to responsible AI - Amazon Science
- The Amazon Nova Family of Models: Technical Report and Model Card
- iMAGiNE Consortium Symposium 2026 | Intelligent Machine Engineering Consortium



