Bhavya Kailkhura

Bhavya Kailkhura is a research scientist at Lawrence Livermore National Laboratory (LLNL), specializing in safe and trustworthy machine learning (ML). He earned his M.S. and Ph.D. in Electrical Engineering from Syracuse University (2012, 2016) and joined LLNL as a postdoctoral researcher in 2016. He currently leads initiatives focused on advancing ML for scientific applications and ensuring the development of safe, secure ML systems. He also serves on the council of LLNL’s Data Science Institute. His research interests include large language models (LLMs) for scientific applications, ML safety and alignment, adversarial robustness, and uncertainty quantification. He has a strong track record of innovation in reliable machine learning and has led multiple federally funded projects to enhance the robustness and security of ML systems.