Dr. Eickhoff is an Assistant Professor of Medical and Computer Science at Brown University where he leads the Biomedical AI Lab, specializing in the development of data science and information retrieval techniques with the goal of improving patient safety, individual health and quality of medical care. Prior to joining Brown, he graduated from The University of Edinburgh and TU Delft, and was a postdoctoral fellow at ETH Zurich and Harvard University. Carsten has published more than 100 articles in computer science conferences (SIGIR, EMNLP, NAACL, WWW, KDD, WSDM, CIKM) and clinical journals (Nature Digital Medicine, The Lancet - Respiratory Medicine, Radiology, European Heart Journal). His research has been supported by the NSF, NIH, DARPA, IARPA, Google, Amazon, Microsoft and others. Aside from his academic endeavors, he is a founder and board member of several deep technology startups in the health sector that strive to translate technological innovation to improved safety and quality of life for patients.
- Thomasian NM, Eickhoff C, Adashi EY. Advancing health equity with artificial intelligence. Journal of public health policy. 2021 Nov 22:1-0.
- Rekabsaz N, Lesota O, Schedl M, Brassey J, Eickhoff C. TripClick: The Log Files of a Large Health Web Search Engine. In Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval 2021 July 1 (pp. 2507–2513)
- Zerveas G, Jayaraman S, Patel D, Bhamidipaty A, Eickhoff C. A transformer-based framework for multivariate time series representation learning. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining 2021 Aug 14 (pp. 2114-2124)