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Murat Kocaoglu is an Assistant Professor in the Department of Computer Science at Johns Hopkins University, where he leads the CausalML Lab. His research focuses on developing new theoretical results that provide insights into fundamental causal discovery and inference problems and creating novel algorithms based on these insights for a wide range of applications in computer security, machine learning, and generative AI. His current research interests include causal inference and discovery, generative models, causal methods for computer security, online algorithms, and information theory. Kocaoglu has received multiple honors, including the Adobe Data Science Research Award in 2022, the NSF CAREER Award in 2023, and the Amazon Research Award in 2024. He serves as an area chair for several prestigious conferences such as the Neural Information Processing Systems Conference and the International Conference on Machine Learning. Before joining Johns Hopkins, he was an Assistant Professor at the Elmore Family School of Electrical and Computer Engineering at Purdue University and worked as a research staff member at the MIT-IBM Watson AI Lab in Cambridge, Massachusetts from 2018 to 2020.
Johns Hopkins University • Baltimore, MD
Leads the CausalML Lab and conducts research involving causal inference, machine learning, and generative AI.
Elmore Family School of Electrical and Computer Engineering, Purdue University • West Lafayette, IN
Conducted research and taught courses related to electrical and computer engineering.
MIT-IBM Watson AI Lab • Cambridge, MA
Involved in AI research projects focusing on machine learning and causal inference.
Department of Pathology - PhD in Pathobiology. GRE is not required.