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Kevin Stangl

Professional Summary



Professional Overview


Kevin Stangl is a highly skilled Research Scientist specializing in AI Security at HiddenLayer. With a strong background in computer science, mathematics, and applied research, he brings a unique blend of technical expertise and industry knowledge to his role. Stangl's primary focus is on developing innovative solutions to safeguard AI systems, ensuring the reliability and security of cutting-edge technologies.

Experience Summary



Current Role


As a Research Scientist at HiddenLayer, Stangl is responsible for leading cutting-edge research projects aimed at enhancing the security of AI-powered applications. He collaborates closely with cross-functional teams to identify and mitigate potential vulnerabilities, develop robust defense mechanisms, and implement advanced risk management strategies. Stangl's contributions have been instrumental in strengthening the company's position as a leader in the AI security domain.

Career Progression


Stangl's academic and professional journey has been marked by a relentless pursuit of knowledge and a commitment to driving innovation. Prior to his current role, he served as a Research Intern at Intel Labs, where he gained valuable experience in applied research and problem-solving. His extensive research background includes a Ph.D. candidacy at the Toyota Technological Institute at Chicago and the University of Chicago, as well as a research associate position at J.P. Morgan.

Throughout his career, Stangl has demonstrated a track record of successful research projects and academic achievements. He has participated in notable programs such as the Purdue Research in Mathematics Experience (PRiME 2016) and the California Research Training Program in Computational and Applied Mathematics, further honing his research skills and expanding his knowledge in the field.

Academic Background


Stangl holds a Ph.D. in Computer Science, with a focus on Machine Learning and Artificial Intelligence. His advanced education and specialized training have provided him with a deep understanding of the theoretical foundations and practical applications of AI security, enabling him to drive innovative solutions that address the evolving challenges in this dynamic industry.

Areas of Expertise


  • Artificial Intelligence and Machine Learning

  • Adversarial Machine Learning and Robustness

  • Secure and Trustworthy AI Systems

  • Risk Assessment and Mitigation Strategies

  • Interdisciplinary Research and Cross-Functional Collaboration


Professional Impact


Stangl's research work has been recognized for its impact and contributions to the field of AI security. He has published his findings in prestigious academic journals and conferences, sharing his insights and driving the advancement of the industry. Additionally, his leadership and problem-solving skills have been instrumental in successfully spearheading complex research initiatives, fostering a culture of innovation and continuous improvement.

Conclusion


With his exceptional technical expertise, strong research background, and proven track record of success, Kevin Stangl is poised to make significant contributions to the field of AI security. As a Research Scientist at HiddenLayer, he is dedicated to pushing the boundaries of what is possible, developing cutting-edge solutions that redefine the landscape of secure and reliable AI systems.