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Kevin Stangl

Professional Summary



Professional Overview


Kevin Stangl is a highly skilled Research Scientist in AI Security, with a strong focus on developing advanced techniques to safeguard artificial intelligence systems. In his current role at HiddenLayer, he leverages his expertise in machine learning, cryptography, and cybersecurity to drive innovative solutions that enhance the resilience and security of AI-powered applications.

Experience Summary



Current Role


As a Research Scientist at HiddenLayer, Kevin is responsible for conducting cutting-edge research, designing novel security frameworks, and collaborating with cross-functional teams to implement robust AI security measures. He has made significant contributions to the company's efforts in developing secure AI systems that can withstand evolving cyber threats and maintain the integrity of their outputs.

Career Progression


Prior to his current role, Kevin gained valuable experience as a Research Intern at Intel Labs, where he contributed to groundbreaking research in adversarial machine learning. He also held positions as a PhD Candidate at the Toyota Technological Institute at Chicago and the University of Chicago, a PhD Research Associate at J.P. Morgan, and an Undergraduate Researcher at various research programs. These roles have allowed him to develop a deep understanding of the theoretical and practical aspects of AI security, as well as hone his skills in problem-solving, collaboration, and effective communication.

Academic Background


Kevin holds a PhD in Computer Science, with a specialization in Artificial Intelligence and Cybersecurity, from the Toyota Technological Institute at Chicago and the University of Chicago. His doctoral research focused on developing advanced techniques for detecting and mitigating adversarial attacks on deep learning models, earning him recognition in the form of prestigious academic awards and publications.

Areas of Expertise


  • Machine learning, with a focus on deep learning and adversarial machine learning

  • Cryptography and secure communications

  • Cybersecurity and vulnerability analysis

  • Developing robust and reliable AI systems

  • Cross-functional collaboration and project management


Professional Impact


During his tenure at HiddenLayer, Kevin has played a pivotal role in the company's efforts to address the growing threat of AI-based attacks. He has spearheaded the development of novel security frameworks that have been successfully deployed in mission-critical applications, resulting in measurable improvements in the resilience and trustworthiness of AI systems. Kevin's research contributions have also been recognized through publications in leading academic journals and conference proceedings, further cementing his status as a thought leader in the field of AI security.

Conclusion


With his exceptional technical expertise, strong research background, and demonstrated ability to deliver innovative solutions, Kevin Stangl is poised to continue making significant contributions to the field of AI security. As he progresses in his career, he remains committed to driving advancements in this critical domain and ensuring the safe and responsible deployment of artificial intelligence technologies.