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Bio
He leads a research group that focuses on the cutting-edge application of machine learning methods to big biomedical data.
His group develops new algorithms for discovering hidden structure, signals, and patterns in complex high-dimensional and high-throughput data, including single-cell RNA sequencing, microbiome, medical imaging, and electronic health records. His research team comprises trainees from diverse backgrounds, including computer science, mathematics, physics, biology, medicine, and neuroscience.
His group develops new algorithms for discovering hidden structure, signals, and patterns in complex high-dimensional and high-throughput data, including single-cell RNA sequencing, microbiome, medical imaging, and electronic health records. His research team comprises trainees from diverse backgrounds, including computer science, mathematics, physics, biology, medicine, and neuroscience.
Research Interests
Papers共 133 篇Author StatisticsCo-AuthorSimilar Experts
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Journal of cachexia, sarcopenia and muscle (2024)
Daniel Levine,Syed Rizvi,Sacha Lévy, Nazreen Pallikkavaliyaveetil MohammedSheriff, David Zhang, Xingyu Chen, SINA GHADERMARZI,Ruiming Wu,Zihe Zheng, Ivan Vrkic, Anna Zhong, Daphne Raskin,
Josue Ortega Caro,Antonio H. de O. Fonseca,Christopher Averill, Syed A. Rizvi, Matteo Rosati, James L. Cross,Prateek Mittal,Emanuele Zappala,Daniel Levine,Rahul M. Dhodapkar,Insu Han,Amin Karbasi,
bioRxiv (Cold Spring Harbor Laboratory) (2024)
medrxiv(2024)
medRxiv : the preprint server for health sciences (2024)
Clinical Nutritionno. 7 (2024): 1809-1815
CoRR (2023)
Noa Golan,Daniel Ehrlich, James Bonanno, Rory F O'Brien, Matias Murillo,Sierra D Kauer,Neal Ravindra,David Van Dijk,William B Cafferty
The Journal of neuroscience : the official journal of the Society for Neuroscienceno. 47 (2023): 7929-7945
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