Deby Katz, J.D., Ph.D.
About Deby Katz, J.D., Ph.D.
Deby Katz, J.D., Ph.D., is a Senior Scientist at GrammaTech, specializing in dynamic binary instrumentation for software quality assurance. With a strong background in computer science and law, Katz has extensive experience in robotics, autonomous systems, and software engineering.
Work at GrammaTech
Deby Katz has been employed at GrammaTech as a Senior Scientist since 2022. In this role, she focuses on applying dynamic binary instrumentation to enhance software quality assurance. Her work includes assessing factors that affect behavior in robotics and autonomous systems, as well as developing new approaches to decompilation. Katz previously interned at GrammaTech in 2016, gaining early exposure to the company's projects and methodologies.
Education and Expertise
Deby Katz holds multiple degrees in Computer Science and Law. She earned her Doctor of Philosophy (Ph.D.) in Computer Science from Carnegie Mellon University, where she studied from 2012 to 2020. Additionally, she obtained a Master of Science (M.S.) in Computer Science from the same institution from 2012 to 2015. Katz also holds a Juris Doctor (JD) from New York University School of Law, which she completed from 2004 to 2007, and a Bachelor of Arts (BA) in Computer Science from Amherst College, where she studied from 2000 to 2004.
Background
Deby Katz has a diverse professional background that combines law and computer science. She worked as an Associate at Ropes & Gray LLP from 2010 to 2012, and as an Intellectual Property Litigation Associate at the same firm from 2007 to 2009. Prior to her legal career, she gained experience as a Summer Associate at Pillsbury Winthrop Shaw Pittman in 2006. Katz transitioned to the tech industry as a Research Software Engineer at Seegrid from 2021 to 2022, and has held various internships, including at Oracle Labs in 2013.
Research Interests
Deby Katz's research interests lie in the intersection of software engineering and robotics. She focuses on using low-level software engineering techniques to improve robotics simulation and the functionality of autonomous vehicles. Her work emphasizes the application of dynamic binary instrumentation to software quality assurance, aiming to enhance the reliability and performance of software systems in critical applications.