400 Jon M. Huntsman Hall3730 Walnut StreetPhiladelphia, PA 19104
Research Interests: multiple testing, high-dimensional inference, selective inference, and applications to genomics
Ph.D. in Statistics, Stanford University, 2019
A.B. in Mathematics, Princeton University, 2014
Postdoctoral Researcher, Department of Statistics and Data Science, Carnegie Mellon University, 2019-2020
Eugene Katsevich and Aaditya Ramdas (2020), Simultaneous high-probability bounds on the false discovery proportion in structured, regression, and online settings, Annals of Statistics, (to appear).
Eugene Katsevich and Aaditya Ramdas (Working), A theoretical treatment of conditional independence testing under Model-X.
Eugene Katsevich and Aaditya Ramdas (Working), The leave-one-covariate-out conditional randomization test.
Eugene Katsevich, Chiara Sabatti, Marina Bogomolov (Working), Filtering the rejection set while preserving false discovery rate control.
Eugene Katsevich and Chiara Sabatti (2020), Multilayer knockoff filter: Controlled variable selection at multiple resolutions, Annals of Applied Statistics, 13 (1), pp. 1-33.
Matteo Sesia, Eugene Katsevich, Stephen Bates, Emmanuel Candes, Chiara Sabatti (2020), Multi-resolution localization of causal variants across the genome, Nature Communications, 11:1093.
Junjie Zhu, Qian Zhu, Eugene Katsevich, Chiara Sabatti (2019), Exploratory gene ontology analysis with interactive visualization, Nature Scientific Reports, 9:7793.
Joakim Anden, Eugene Katsevich, Amit Singer (2015), Covariance estimation using conjugate gradient for 3D classification in cryo-EM, Proceedings of the IEEE International Symposium on Biomedical Imaging.
Eugene Katsevich, Alexander Katsevich, Amit Singer (2015), Covariance matrix estimation for the cryo-EM heterogeneity problem, SIAM Journal on Imaging Sciences, 8 (1), pp. 126-185.
Bibo Shi, Eugene Katsevich, Be-Shan Chiang, Alexander Katsevich, Alexander Zamyatin (2014), Image registration for motion estimation in cardiac CT, Proceedings of SPIE Medical Imaging, 9033.