Dr. Chakraborty is currently a Research Staff Member and global sub-theme lead at IBM Research in the Center of Computational Health at the IBM T.J. Watson Research Center, NY. His work focuses on applications of data science towards patient health characterization and risk modeling. Broadly, his research interests are temporal data mining, machine learning and causal inference.
Dr. Durrett is an assistant professor of Computer Science at UT Austin. His current research focuses on making natural language processing systems more interpretable, controllable, and generalizable, spanning application domains including question answering, textual reasoning, summarization, and information extraction. His work is funded by a 2022 NSF CAREER award and other grants from agencies including the NSF, DARPA, Salesforce, and Amazon.
Dr. Glicksberg is an assistant professor at the Icahn School of Medicine at Mount Sinai in the departments of AI in Human Health; Medicine; and Genetics and Genomic Sciences, and a member of the Hasso Plattner Institute for Digital Health. He is also an adjunct faculty member of digital engineering at the Hasso Plattner Institute in Potsdam, Germany. His research uses machine learning to couple multi-modal patient health data to forward personalized medicine.