Carey Priebe, a professor in the Department of Applied Mathematics and Statistics, has been elected a fellow of the Institute of Mathematical Statistics, a recognition of his outstanding research and leadership in the field of statistics. His research focuses on computational statistics, kernel and mixture estimates, statistical pattern recognition, dimensionality reduction, model selection, and statistical inference for high-dimensional and graph data.
René Vidal, the Herschel L. Seder Professor in the Department of Biomedical Engineering, has been elected to the American Institute for Medical and Biological Engineering's College of Fellows. AIMBE fellows are considered the most distinguished and accomplished leaders in the fields of medical and biological engineering, and are chosen for making contributions to those fields that have the potential to change the world. Vidal was recognized for outstanding contributions to medical image analysis and medical robotics. He holds joint appointments in the departments of Electrical and Computer Engineering, Computer Science, and Mechanical Engineering and is the director of the Mathematical Institute for Data Science and the Vision Dynamics and Learning Lab. He is also a professor in the Institute for Computational Medicine, the Center for Imaging Science, and the Laboratory for Computational Sensing and Robotics. His research focuses on the development of theory and algorithms for the analysis of complex high-dimensional datasets such as images, videos, time series, and biomedical data. His lab creates new technologies for a variety of biomedical applications, including detection, classification, and tracking of blood cells in holographic images, classification of embryonic cardiomyocytes in optical images, and assessment of surgical skill in surgical videos.
Three assistant professors in the Department of Computer Science—Raman Arora, Peng "Ryan" Huang, and Ilya Shpitser—have received five-year CAREER awards, which recognize early stage scholars with high levels of promise and excellence, from the National Science Foundation. Arora's research focuses on algorithmic and computational aspects of machine learning. Huang's project, "Towards Gray-Fault Tolerant Cloud Through Harnessing and Enhancing System Observability," aims to improve the availability of modern cloud system infrastructure by developing a holistic approach that can detect, pinpoint, and diagnose gray failures in production systems. Shpitser's project is "Robust Causal and Statistical Inference in High Dimensional Structured Systems With Hidden Variables." It aims to significantly advance understanding of all major tasks in causal systems with hidden variables: identification, estimation, and computationally efficient probabilistic calculations.
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