Jayaraman J. Thiagarajan (Jay) is a Machine Learning/AI Researcher in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory. His research broadly spans machine learning, statistics and signal processing for applications in computer vision, healthcare, language modeling and scientific data analysis. He is the lead investigator for multiple machine learning projects funded by the DOE and the Office of Science. He received his Master of Science and doctorate degrees in Electrical Engineering from Arizona State University in 2008 and 2013.

For a complete list of Jay's publications, visit google scholar page

Articles and Podcasts

• Interpretability in Healthcare AI with Jay Thiagarajan, Data Skeptic Podcasts, May 2020
• Featured Article, LLNL news on AI-based introspection of COVID-19 infections in X-ray images, May 2020
• LLNL Computing Research Highlights, Mar 2019
• LLNL Science & Technology Review Article, Mar 2019
• Featured Article, People highlight by the Computing directorate at LLNL, Jan 2019
• Featured Article, Nvidia blog on our paper on GANs for inverse problems, October 2016

Curriculum Vitae

Here is Jay's CV

Personal Website

Jay maintains a personal website at https://jjthiagarajan.com/

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