Abstract Security
Stephen Iota is a Software Engineer at Abstract Security since April 2023, with a background in research and internships focused on machine learning and causal inference. Prior experience includes working as a Research Assistant at USC Viterbi School of Engineering, where Stephen specialized in reinforcement learning for causal inference, and a Machine Learning Internship at USC Information Sciences Institute, emphasizing transfer learning and computer vision for domain-specific tasks. Additional roles include a Data Science Internship involving probabilistic modeling and numerical analysis, an Undergraduate Student Researcher position at the University of California, Riverside, focusing on micromagnetic physics simulations, and various tutoring roles. Stephen holds a Master of Science in Computer Science and a Bachelor of Science in Physics from the respective universities.
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Abstract Security
Abstract Security has created a revolutionary platform, equipped with an AI-powered assistant, to better centralize the management of security analytics. Abstract transcends next-gen SIEM solutions by correlating data in real-time between data streams. As a result, compliance and security data can be leveraged separately to increase detection effectiveness and lower costs.